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Our Client is expanding its AI &amp; Data division and is looking for an experienced Machine Learning Engineer&nbsp;to design, develop, and deploy advanced ML solutions that power automation and digital transformation initiatives. This role combines&nbsp;hands-on engineering&nbsp;with&nbsp;technical leadership, focusing on creating scalable, production-ready ML systems that support real-world business processes.Key Responsibilities<ul><li>Design, develop, and integrate&nbsp;machine learning models&nbsp;into production environments.</li><li>Build and maintain&nbsp;data pipelines&nbsp;and&nbsp;model training workflows&nbsp;to ensure reliable and automated processes.</li><li>Develop and enhance the company’s&nbsp;MLOps infrastructure&nbsp;for model lifecycle management, automation, and monitoring.</li><li>Write&nbsp;production-grade Python code&nbsp;and build APIs or services that expose ML models to business applications.</li><li>Continuously monitor, evaluate, and retrain models to maintain accuracy and performance.</li><li>Collaborate with&nbsp;data engineers, annotation teams, software developers, and product managers&nbsp;to align solutions with business objectives.</li><li>Participate in&nbsp;code reviews, documentation, and the definition of engineering best practices.</li></ul>Requirements<ul><li>Bachelor’s or Master’s degree in&nbsp;Computer Science, Mathematics, Statistics, or a related discipline.</li><li>4 + years&nbsp;of hands-on experience developing and deploying machine learning models.</li><li>Proven&nbsp;people management or team leadership experience.</li><li>Strong proficiency in&nbsp;Python&nbsp;and ML libraries (e.g.,&nbsp;scikit-learn, TensorFlow, PyTorch).</li><li>Solid understanding of&nbsp;MLOps tools and practices&nbsp;(e.g.,&nbsp;MLflow, Kubeflow, Airflow).</li><li>Working knowledge of&nbsp;cloud platforms&nbsp;such as AWS, GCP, or Azure.</li><li>Excellent&nbsp;analytical thinking,&nbsp;problem-solving, and&nbsp;communication skills.</li><li>Fluent in&nbsp;English, both written and spoken.</li></ul>Nice to Have<ul><li>Experience with&nbsp;document understanding,&nbsp;OCR, or&nbsp;NLP&nbsp;models.</li><li>Familiarity with&nbsp;containerization&nbsp;(Docker, Kubernetes) and CI/CD for ML pipelines.</li><li>Exposure to&nbsp;data governance,&nbsp;model monitoring, or&nbsp;AI observability&nbsp;tools.</li></ul>Why Join Them<ul><li>You’ll be part of a growing AI team within a well-established organization that is transforming its services through technology.</li><li>You’ll work on end-to-end ML systems, from data ingestion to deployment, with real business impact across automation and document intelligence domains.</li><li>If you’re passionate about building scalable ML products and want to see your models running in production, this is the right environment for you.</li></ul>&nbsp;

Senior ML Engineer

We are the 1st Hub for Developers! Our motto is “From Developers to Developers”! Our vision is to provide real career opportunities for candidates that want to take the next step in their career. Code.Career is the first process that you will speak with developers (only!) and tech (freak) experts!About the RoleOur Client is expanding its AI &amp; Data division and is looking for an experienced Machine Learning Engineer to design, develop, and deploy advanced ML solutions that power automation and digital transformation initiatives.This role combines hands-on engineering with technical leadership, focusing on creating scalable, production-ready ML systems that support real-world business processes.Key Responsibilities<ul><li>Design, develop, and integrate machine learning models into production environments.</li><li>Build and maintain data pipelines and model training workflows to ensure reliable and automated processes.</li><li>Develop and enhance the company’s MLOps infrastructure for model lifecycle management, automation, and monitoring.</li><li>Write production-grade Python code and build APIs or services that expose ML models to business applications.</li><li>Continuously monitor, evaluate, and retrain models to maintain accuracy and performance.</li><li>Collaborate with data engineers, annotation teams, software developers, and product managers to align solutions with business objectives.</li><li>Participate in code reviews, documentation, and the definition of engineering best practices.</li></ul>Requirements<ul><li>Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related discipline.</li><li>7+&nbsp; years of hands-on experience developing and deploying machine learning models.</li><li>Proven people management or team leadership experience on a team of 10.</li><li>Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Solid understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, Airflow).</li><li>Working knowledge of cloud platforms such as AWS, GCP, or Azure.</li><li>Excellent analytical thinking, problem-solving, and communication skills.</li><li>Understanding of RPA,PPA service</li></ul><ul><li>Experience with document understanding, OCR, or NLP models.</li><li>Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML pipelines.</li><li>&nbsp;Fluent in English, both written and spoken.</li></ul>Nice to Have<ul><li>Exposure to data governance, model monitoring, or AI observability tools.</li></ul>Why Join Them<ul><li>You’ll be part of a growing AI team within a well-established organization that is transforming its services through technology.</li><li>You’ll work on end-to-end ML systems, from data ingestion to deployment, with real business impact across automation and document intelligence domains.</li><li>If you’re passionate about building scalable ML products and want to see your models running in production, this is the right environment for you.</li></ul>

Team Lead ML Engineer

We are seeking a talented and experienced AI Engineer to join our AI Center of Excellence. This role involves developing and deploying state-of-the-art Generative AI solutions powered by Large Language Models (LLMs) and Agentic AI flows. You will collaborate with cross-functional teams to build secure, scalable, and high-performing AI systems that solve real-world problems using cutting-edge technologies. As part of the AI Center of Excellence, you will contribute to the creation of reusable GenAI components and frameworks, ensuring technical excellence, responsible AI practices, and continuous improvement.The key responsibilities of this role will include:<ul><li>Write clean, scalable Python code applying strong OOP principles to build and integrate state-of-the-art Generative AI and Agentic AI solutions.</li><li>Train and fine-tune LLMs using domain-specific datasets, and work with modern foundation models like GPT, Claude, Llama, and Mistral.</li><li>Design and implement robust architectures, including Retrieval-Augmented Generation (RAG) pipelines, advanced chunking strategies, memory management, advanced prompt templating, Model Context Protocol (MCP), and context injection.</li><li>Design and deploy sophisticated agent-based systems using frameworks such as LangGraph, LangChain agents, CrewAI, and AutoGen.</li><li>Leverage industry-leading tools like LangChain, LlamaIndex, HuggingFace Transformers, and OpenAI APIs.</li><li>Develop automated pipelines for model performance evaluation, bias detection, and Responsible AI compliance.</li><li>Provide technical leadership, mentor junior engineers, and help shape our AI strategy.</li><li>Collaborate closely with engineering and infrastructure teams for seamless deployment and continuous iteration.</li><li>Produce clear, comprehensive documentation and reports for technical designs, project progress, and model performance.</li></ul>To be successful at this role you need the following (hard and soft skills):<ul><li>Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related field</li><li>3+ years of hands-on experience in AI/ML projects, building and delivering AI/GenAI applications.</li><li>Expertise and a deep understanding of the rapidly evolving Generative AI landscape, GenAI architectures, including RAG pipelines and model evaluation frameworks.</li><li>Expertise in LLM development, prompt engineering, vector-based retrieval techniques, and modern AI agent frameworks.</li><li>Strong command of Python with solid Object-Oriented Programming (OOP) principles, and experience with MLOps practices.</li><li>Familiarity with Responsible AI concepts, including fairness, transparency, Green AI and hallucination mitigation.</li><li>Strong problem-solving and critical thinking abilities.</li><li>Effective communication skills for both technical and non-technical audiences.</li><li>A collaborative mindset with a willingness to learn and share knowledge.</li><li>Self-motivation and the ability to drive projects with minimal supervision.</li><li>Clear and structured approach to documentation and continuous learning.</li></ul>Bonus Qualifications (Nice to have):<ul><li>Experience in building or utilizing systems that conform to the Model Context Protocol (MCP).</li><li>Experience with specific Azure AI services (e.g., Azure OpenAI, Azure ML).</li><li>Contributions to open-source AI projects or relevant research publications.</li><li>Experience with real-time AI systems or low-latency inference.</li><li>Relevant certifications in cloud AI or machine learning.What’s in it for You?</li></ul>At Grant Thornton Greece, we believe that great work deserves great rewards! Here’s what you can look forward to:<ul><li>🌈 Diverse and inclusive workplace</li><li>🏋️‍♂️ Friendly, Dynamic Working environment</li><li>💰 Competitive Salary &amp; Bonus</li><li>🩺 Insurance Program for all GT members</li><li>👩‍🏫 Fully funded Training &amp; Professional Qualifications</li><li>🏖 Extra Days-off: August Freedays, Volunteering Days, Early leave days</li><li>🏃🏽‍♂️ Corporate Sports Teams (e.g., Running, Basketball, Volleyball)</li><li>🎁 Exclusive Discounts: Special offers and discounts for employees</li><li>🚗 Company Car (depending on job level)</li></ul>

Senior AI Engineer

We are seeking for an experienced AI Engineer to join our Generative AI team within our Group IT General Division.By joining this role, you’ll be part of a cross functional team, which is responsible for the whole lifecycle of GenAI use cases, from assessment to implementation and operationalization. You’ll play a pivotal role in advancing the Bank’s Generative AI adoption, contributing to a growing portfolio of high-impactful use cases.As an AI Engineer you will be designing, developing, testing and deploying the AI solution, evaluating and deploying state-of-the-art frameworks, libraries, and platforms, as well as ensuring performance, reliability, and regulatory compliance of GenAI models and systems. You will be responsible for the technological infrastructure and platform optimization necessary for successful use case implementation, ensuring the tech infrastructure aligns with the use case needs.&nbsp;Your key responsibilities will be:<ul><li>Evaluate emerging AI technologies and assess their potential value in Eurobanks’ landscape.</li><li>Set AI architecture guidelines and standards and collaborate with the different delivery units of the Bank to make sure they acknowledge and comply.</li><li>Analysis of the different use cases and design of the solution to support the implementation.</li></ul><ul><li>Set up of the different elements within the AI application (data pipeline, user interface,&nbsp;etc)&nbsp;and the relevant activities.</li><li>Build robust AI systems with an eye on the long-term maintenance, scalability, security and performance​.</li><li>Lead model, application and data monitoring and maintenance​.</li><li>Design and deliver the integration of AI technologies into the existing IT infrastructure and data landscape of&nbsp;the Bank​.</li></ul>&nbsp;&nbsp;You will be a great candidate for us if you:<ul><li>Have 2+ years of hands-on experience applying AI to deliver business-impactful solutions, with a focus on Generative AI technologies.</li><li>Have proven expertise in deploying production-grade GenAI use cases, including: LLM frameworks, Retrieval-Augmented Generation (RAG) architectures, Agentic workflows and protocols (e.g., MCP, A2A), AI chatbot development and orchestration.</li><li>Are proficient in cloud-native AI development, with experience in optimizing GenAI workloads on platforms such as Azure (preferable), AWS, or GCP.</li><li>Have a solid foundation in software engineering practices, including CI/CD, containerization, and scalable microservices.</li><li>Are fluent in Python, with practical experience in building and fine-tuning GenAI pipelines.</li><li>Hold a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.</li><li>Demonstrate strong collaboration and leadership skills, with a proactive mindset and the ability to thrive in agile, cross-functional teams.</li><li>Are fluent in English language</li></ul>&nbsp;What’s in it for you:<ul><li>Competitive remuneration.&nbsp;</li><li>Hybrid work: work-life balance through remote and in-office work.  &nbsp;&nbsp;</li><li>Learning &amp; Development:&nbsp;</li></ul><ul><li></li></ul><ul><li>Access Unlimited LinkedIn Learnings, international training methodologies&nbsp;</li><li>Upskilling, Professional development and career guidance from successful executives.   &nbsp;</li><li>Identification and Utilization of Talent Pool through a structured Talent Management process.  &nbsp;&nbsp;</li></ul><ul><li>Wellbeing:&nbsp;</li></ul><ul><li></li></ul><ul><li>Premium Health &amp; Life insurance for you, your partner and/or your family and mental health support. &nbsp;</li><li>Pension plan to support your plans and future financial expectations.  &nbsp;</li><li>Team building &amp; wellbeing activities.  &nbsp;</li><li>Potential Extra days of annual leave (Winter Bonus).   &nbsp;&nbsp;</li><li>Engage in volunteering activities through our TeamUp program.&nbsp;</li></ul><ul><li>Extra Benefits:</li></ul><ul><li></li></ul><ul><li>Exclusive discounts at partner stores.  &nbsp;</li><li>Staff pricing for banking products.  &nbsp;</li><li>Nursery and summer camp allowance for your little ones.  &nbsp;</li></ul>

AI Engineer

We are seeking a highly skilled Senior AI Engineer to join our team.In this role, you will contribute to the development of advanced AI solutions for a variety of business domains. You will collaborate with cross-functional teams and clients to deliver impactful, scalable, and innovative AI-driven products. #LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Design, implement, and maintain end-to-end AI applications, including chatbots, Q&amp;A platforms, and agent workflows</li><li>Work directly with clients to understand requirements, identify opportunities, and recommend LLM-driven solutions</li><li>Develop and manage robust data pipelines, prompt strategies, and datasets to support effective and accurate AI models</li><li>Evaluate and refine AI system performance to ensure outputs are accurate, secure, scalable, and compliant with industry regulations</li><li>Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions</li><li>Stay up to date with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes</li></ul>Requirements<ul><li>At least 3 years of experience in AI engineering or a related field</li><li>Strong proficiency in Python and experience with web frameworks such as FastAPI or similar</li><li>Understanding of the AI application development lifecycle, from design to deployment</li><li>Experience with rapid UI prototyping using tools like Streamlit, Gradio, or similar frameworks</li><li>Familiarity with major LLM platforms and APIs, including OpenAI, Anthropic, Amazon Bedrock, Gemini, and related frameworks such as LangGraph, LlamaIndex, and Strands Agents</li><li>Knowledge of advanced AI integration patterns, including Retrieval-Augmented Generation (RAG) and agent-based architectures</li><li>Experience deploying AI solutions at scale, with a focus on performance, cost-efficiency, and maintainability</li><li>Ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods</li><li>Proven track record in delivering ML-based solutions and AI engineering projects</li><li>Strong problem-solving skills and attention to detail</li><li>Excellent communication, collaboration, and interpersonal skills</li><li>Fluent English skills (written and spoken) at a B2+ level or higher</li></ul>Nice to have<ul><li>Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback</li><li>Understanding of retrieval systems, including keyword search, vector search, embeddings, and ranking algorithms</li><li>Familiarity with emerging protocols such as MCP, A2A, ACP, and others</li><li>Experience deploying to cloud AI platforms like Azure OpenAI, Amazon Bedrock, GCP Vertex AI, or on-premise solutions such as vLLM</li><li>Experience with enterprise AI platforms, including AWS AgentCore, Databricks AgentBricks, Google Agents Space, or Azure AI Foundry</li><li>Experience with observability and monitoring tools and frameworks for AI systems</li></ul>We offer<ul><li>For your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>

n this “hands-on” position, you will design, build, and deploy production-grade AI systems that will power enterprise-scale capabilities across the Clinical Development &amp; Operations organization. This is a high-impact role for a builder who thrives on solving real-world business problems in a complex, data-rich, and regulated environment. You will be instrumental in advancing the practical application of LLMs and agentic AI by identifying high-value use cases, developing reusable workflows, and partnering with stakeholders to drive adoption and impact. Combining deep expertise in software engineering and machine learning, you will take solutions from prototype to production, embedding MLOps best practices to ensure they are reliable, scalable, and reproducible. You will drive business transformation through proactive thought-leadership, innovative analytical capabilities, and the ability to communicate highly complex information in new and creative ways.WHAT YOU"LL DODevelop and Implement AI Solutions<ul><li>Build and deploy AI/ML models and solutions that support process-heavy workflows (e.g. protocol feasibility and site selection, study start-up etc.) including documentation, and operational reporting.</li><li>Contribute to the automation of manual and repetitive activities to improve speed, quality, and consistency.</li></ul>Strengthen Operational Decision-Making<ul><li>Develop predictive, optimization, and scenario-based models to support clinical trial supply forecasting and operational planning.</li><li>Create and maintain dashboards and decision-support tools that translate complex data into actionable insights for CD&amp;O leadership and operational teams.</li></ul>Engineer Production-Grade AI Systems<ul><li>Implement AI solutions that are aligned with data integrity standards and governance best practices, including model validation, versioning, and monitoring.</li><li>Design and implement AI agentic solutions that can plan and execute multi-step workflows.</li><li>Build robust, production-ready ML and analytics pipelines with a focus on reproducibility and scalability.</li><li>Deploy AI solutions in cloud environments, ensuring reliability, security, and seamless integration with existing systems.</li></ul>Collaborate Across Disciplines<ul><li>Partner closely with CD&amp;O line teams, scientists, and Digital partners to ensure that AI efforts remain tightly aligned to real scientific needs and can be deployed in ways that are trusted, scalable, and adopted in day-to-day work.</li><li>Champion best practices in AI engineering system lifecycle.</li></ul> &nbsp;BASIC MINIMUM QUALIFICATIONS<ul><li>PhD in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or a related discipline and a minimum of 5 years of applied analytical experience with demonstrated impact in operations, automation, business analytics, or decision support OR</li><li>Master’s in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or a related discipline and a minimum of 7 years of applied analytical experience with demonstrated impact in operations, automation, business analytics, or decision support.</li><li>Strong hands-on experience applying LLMs, generative AI, machine learning, or related AI approaches to real-world workflows, products, or analytical use cases, ideally within R&amp;D, clinical operations or large-scale regulated organizations.</li><li>Experience building practical, reusable workflows or systems rather than one-off analyses, with strong implementation skills in Python and modern AI / ML tooling.</li><li>Sound judgment regarding methodological rigor, model limitations, evaluation, and the appropriate role of human oversight in AI-enabled workflows.</li><li>Experience working directly with domain users or stakeholders to translate ambiguous needs into useful technical solutions, with evidence of strong collaboration and communication skills.</li></ul>TECHNICAL SKILLSET<ul><li>AI Engineering/ Framework: Strong hands‑on experience with Python building ML/DL with libraries (e.g. TensorFlow, PyTorch, Keras, Scikit-learn), and LLM‑based systems and agentic frameworks including RAG architectures, prompt engineering, embeddings, fine‑tuning, evaluation and orchestration (e.g. ADK, LangChain, LangGraph, Vertex AI, Claude).</li><li>Software &amp; Data Engineering/ Framework: Experience with Java, JavaScript/TypeScript, React, FastAPI, SQL/PostgreSQL, Snowflake, S3, and enterprise data and knowledge systems (e.g. BigQuery, Neo4j).</li><li>Cloud, DevOps &amp; MLOps: Proficient with Git, Docker, CI/CD, and cloud platforms (AWS/GCP/Azure), with a strong focus on reproducibility, deployment, monitoring, and production‑ready MLOps.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Experience in life sciences, pharma, biotech, systems biology, immunology, translational science, omics, or related research environments.</li><li>Experience operating across scientific and technical disciplines, with enough domain fluency to engage credibly with scientists while still bringing a strong applied-AI builder mindset.</li></ul>

Director, AI Engineering--Clinical Development and Operations (CD&O) 4955843

Intellectica is recruiting a Senior AI &amp; Data Engineer on behalf of a leading technology services group headquartered in Athens, Greece, operating under a hybrid working model. The selected candidate will join a high-performing Data &amp; AI team and will play a pivotal role in designing, developing, and deploying cutting-edge AI solutions, contributing to transformative initiatives that enhance business performance, unlock new value streams, and drive innovation across diverse industries.Key activities and responsibilities of this role include:&nbsp;<ul><li>Leading the end-to-end design and delivery of scalable data and machine learning solutions, aligning technical architecture with business objectives and strategic priorities</li><li>Collaborating globally with data engineers, architects, and business stakeholders to define robust data architecture and modeling requirements</li><li>Developing and optimizing ETL processes to integrate data from multiple sources, ensuring high data quality and reliability</li><li>Adhering to software engineering best practices to deliver maintainable, scalable, and resilient data solutions</li><li>Researching, designing, building, implementing, maintaining, and continuously improving Machine Learning systems</li><li>Communicating complex technical solutions clearly to senior management and diverse stakeholders</li><li>Mentoring junior team members, providing guidance to ensure high-quality deliverables</li><li>Contributing to sales activities through expertise in data and platform architecture</li><li>Staying current with industry trends and contributing to internal initiatives, R&amp;D, and business development projects</li><li>Any other task that may be required from time to time</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree or PhD will be considered an asset</li><li>Minimum of 3 years in data engineering, with a strong emphasis on cloud environments - AWS, GCP, Azure, or Cloud Native platforms</li><li>Proven expertise in designing and managing scalable, end-to-end data pipelines (ADF, Airflow, dbt), across batch, micro-batch, and streaming architectures (e.g., Kafka, Databricks Structured Streaming, StreamSets)</li><li>Strong experience with Big Data platforms (Hadoop, Databricks, Hive, Kafka, Apache Iceberg, Microsoft Fabric), Data Warehouses (Teradata, Snowflake, BigQuery), and Lakehouse architectures (Delta Lake, Apache Hudi), along with solid knowledge of data governance, quality, security, and metadata management (e.g., Unity Catalog, Apache Atlas, Informatica)</li><li>Proficiency in SQL, Python, and PySpark, writing scalable and maintainable code using object-oriented principles, with practical experience in REST API integration and Linux-based environments</li><li>Experience implementing DevOps and MLOps practices, including Git workflows, CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions), containerization and orchestration (Docker, Kubernetes), MLflow, and service mesh/API gateway architectures (e.g., Istio)</li><li>Familiarity with Agile and Waterfall delivery methodologies</li><li>Industry certifications (AWS, Azure, GCP, CNCF/Kubernetes, Databricks) are considered an asset; demonstrable hands-on expertise is equally valued</li><li>Fluency in Greek with professional-level English communication skills</li></ul>&nbsp;&nbsp;Core competencies of a successful candidate:<ul><li>Strong creative problem-solving skills, with a focus on addressing real-world business challenges</li><li>Comfortable working within a global, highly collaborative team environment</li><li>Demonstrated leadership skills, setting clear priorities and driving effective execution</li><li>Proactive, dependable, and results-driven professional mindset</li><li>Willingness and flexibility to travel occasionally as required</li></ul>&nbsp;

Senior AI & Data Engineer

EPAM is looking for a skilled&nbsp;Senior Palantir Data Engineer&nbsp;to join our growing global team of data engineering professionals. This is an exciting opportunity to work on cutting-edge Data Transformation projects that utilize Big Data and Machine Learning to solve emerging challenges in the Property &amp; Casualty business domain.If you’re eager to apply your expertise in Python/PySpark, SQL and Palantir to design and implement complex data pipelines while collaborating with a multicultural and dynamic team, we’d love to hear from you!The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Lead the design and implement robust, large-scale data pipelines and analytics solutions</li><li>Oversee the monitoring and optimization of data pipelines for performance and scalability using advanced tools and techniques, including Python/PySpark and structured query languages</li><li>Optimize data workflows to support critical decision-making processes</li><li>Harness state-of-the-art tools and technologies (including Palantir Foundry) to address new and emerging business challenges</li><li>Partner with cross-functional and globally distributed teams (e.g., data scientists, analysts, business stakeholders) to align project goals and execution strategies</li><li>Contribute to a global strategic initiative focused on enhancing the ability to make data-driven decisions across the Property &amp; Casualty value chain</li><li>Stay ahead of emerging technologies and trends (e.g., Generative AI, Machine Learning) and recommend potential applications in the data ecosystem</li></ul>Requirements<ul><li>Bachelor’s degree (or equivalent) in Computer Science, Data Science or a related discipline</li><li>5+ years of experience working with large-scale distributed computing systems</li><li>Proficiency in Python/PySpark to build and optimize complex data pipelines</li><li>Hands-on experience working with Databricks for large-scale data processing and analytics</li><li>Strong SQL skills (preferably Spark SQL) for data querying and manipulation</li><li>Deep understanding of data warehousing concepts and ELT techniques</li><li>Experience with Palantir Foundry is a must</li><li>Familiarity with Agile and Scrum development methodologies</li><li>Strong analytical and problem-solving skills</li><li>Self-starter with a positive outlook and an eagerness to learn</li><li>Self-direction and effective workload management</li><li>Ability to work enthusiastically in a global and multicultural environment</li><li>Strong interpersonal and communication skills, including clear written and verbal expressions in complex contexts</li></ul>Nice to have<ul><li>Knowledge of HTML, CSS, JavaScript and Gradle</li><li>Experience in the insurance domain or the financial industry</li><li>Familiarity with Microsoft Power BI</li><li>Exposure to Machine Learning or Generative AI technologies</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest

Senior Palantir Data Engineer

AI &amp; Data Engineer (Junior) @ Thessaloniki What Impact will you make? #YourOpportunityDeloitte is a global leader in professional services, with a presence in over 150 countries and territories. Since 2018, Deloitte has developed a Competence Center in Greece with locations in Thessaloniki, Patras, Heraklion, and Ioannina – true hubs of expertise, training, and innovation. These centers offer young professionals immersive and hands-on experiences, continuous learning opportunities, and a practical understanding of digital skills. Joining Deloitte means being part of a dynamic, international, and collaborative environment where both junior and experienced professionals can grow, supported by a culture based on trust, inclusion, and teamwork. #YourServiceLine: Technology &amp; TransformationOur Technology &amp; Transformation teams drive business transformation through digital innovation. By combining deep industry knowledge with cutting-edge technology, we deliver tailored solutions that foster innovation, enhance efficiency, ensure security, and promote sustainable growth. We support national and international clients in building digital strategies and enabling new working models.  #AboutYourTeamDeloitte is a worldwide leader in Analytics consulting and helps Companies to acquire data from heterogeneous sources, transforming it into accurate and immediately useful information, a must-have for those companies who want to be fact-driven in their decision-making processes, leveraging both data and insights.AI&amp;Data is the best-in-class option to shape, design and implement Advanced Analytics, Machine Learning, Generative AI, Data Visualization and Big Data Management solutions, with a technology agnostic approach.You will have the opportunity to improve your analytics skills with a cross-industry approach and to learn how to deliver the most suitable technological solution.Furthermore, by joining our AI&amp;Data Communities you will be always up to date about technology news, understand the evolution of R&amp;D projects and contribute to create innovative assets. #YourRoleIn your role you will be part of an international team, be supported by senior colleagues, proactively and responsibly carry out complex project activities and support your team with client’s stakeholders. You will be responsible for the quality of the work completed by you. You will have the chance to demonstrate your ability and soft skills acting responsively and autonomously within multifunctional teams, positively engaging client key users and your counterparts with a clear, empathic, and impactful communication style. Key ActivitiesYou will have the responsibility to share your experience and knowledge, leading by example in the realization of our ambition: “make an impact that matters”. To fulfill this role, you should: • Understand user requirements and which are the technical steps and tool required to exceed client expectation, under the time and resources constraints.• Follow the team leader lead, contributing to improve the quality of the deliverables while meeting the deadlines.• Guarantee the production of high-quality solutions, using tools and resources made available and coordinating junior colleagues.• Identify potential project issues and promptly share them with the rest of the team.• Cooperate productively in cross-functional and international teams. #OurRequirementsThe ideal candidate has the following requirements:• STEM bachelor’s or master’s degree• Fluency in concepts and techniques about Data Warehousing, Business Intelligence, Data modeling, Machine Learning and Generative AI• Good understanding of data architectures• Good knowledge of Python language• Good knowledge of SQL• Good knowledge of ETL concept• Good knowledge of Data Visualization concept• Flexibility, willingness to travel• Fluency in English (at least C1 certified) Nice to have:• Proficiency in Databricks or GCP or Azure/Fabric or AWS cloud platform• Fluency in Italian Additional soft skills required:• Analytical skills and problem-solving aptitude• Willingness to learn and to understand new tools or technologies• Organizational skills, resourcefulness, and creativity• Being team working oriented• Excellent communication and interpersonal skills #WhoWeAreLookingForWe are looking for young professionals passionate about innovation and digital learning, eager to grow their skills in a dynamic, cross-functional environment. You are proactive, collaborative, enthusiastic about emerging technologies, and ready to make a tangible impact in transforming how people learn. At Deloitte, we promote collective growth: we believe in teamwork, continuous learning, and the power to make an impact that matters – every day.  #WhatWeOfferAt Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits:🏠 Modern hybrid workplace, characterized by flexibility and Smart Working⚖ Empowered well-being: We provide multiple program offerings to support your well-being needs (flexible working arrangements, extra days of leave, parental allowances)🌍 Engagement within international large-scale teams and projects, with opportunities to travel for training or client purposes.📚 Constant opportunities for learning with unlimited access to internal and external learning platforms and sponsored certificates aligned with business needs and technology trends🚀 Challenging and innovating environment where personal development and growth are encouraged, always with transparency and trust🏳️‍🌈 Diverse culture and active communities that enable you to bring yourself to work🎉 Team Building and Corporate Social Responsibility Activities🏃 A buddy to support you with your onboarding⚕ Private medical health insurance plan💳 Ticket restaurant card🛍️ Exclusive Discounts to several retail providers, restaurants and others📱 Mobile phone🍏 Fresh fruits and unlimited coffee everyday at our offices Please note that all the well-being benefits mentioned above are subject to annual review. Sounds like the sort of role for you? Apply now. Location: Thessaloniki This document has been prepared by Deloitte Business Solutions Societe Anonyme of Business Consultants, Deloitte Certified Public Accountants Societe Anonyme and Deloitte Alexander Competence Center Single Member Societe Anonyme of Business Consultants. Deloitte Business Solutions Societe Anonyme of Business Consultants, a Greek company, registered in Greece with registered number 000665201000 and its registered office at Marousi Attica, 3a Fragkokklisias &amp; Granikou str., 151 25, Deloitte Certified Public Accountants Societe Anonyme, a Greek company, registered in Greece with registered number 0001223601000 and its registered office at Marousi, Attica, 3a Fragkokklisias &amp; Granikou str., 151 25 and Deloitte Alexander Competence Center Single Member Societe Anonyme of Business Consultants, a Greek company, registered in Greece with registered number 144724504000 and its registered office at Thessaloniki, Municipality of Pylaia - Chortiatis of Thessaloniki, Vepe Technopolis Thessaloniki (5th and 3rd street), are all companies of the Deloitte Central Mediterranean S.r.l. (“DCM”) geography. DCM, a company limited by guarantee registered in Italy with registered number 09599600963 and its registered office at Via Santa Sofia no.28, 20122, Milan, Italy is one of the Deloitte NSE LLP geographies. Deloitte NSE LLP is a UK limited liability partnership and member firm of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee. Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms and their related entities (collectively, the “Deloitte organization”). DTTL (also referred to as “Deloitte Global”) and each of its member firms and related entities are legally separate and independent entities, which cannot obligate or bind each other in respect of third parties. DTTL and each DTTL member firm and related entity is liable only for its own acts and omissions, and not those of any of each other. DTTL does not provide services to clients. Please see www.deloitte.com/ about to learn more. DTTL, Deloitte NSE LLP and Deloitte Central Mediterranean S.r.l. do not provide services to clients. Please see www.deloitte.com/about to learn more about our global network of member firms. Deloitte is a leading global provider of audit and assurance, consulting, tax and related services. Our global network of member firms and related entities in more than 150 countries and territories serves four out of five Fortune Global 500® companies. Learn how Deloitte’s approximately 470,000 people make an impact that matters at www.deloitte.com. This communication contains general information only, and Deloitte Business Solutions Societe Anonyme of Business Consultants, Deloitte Certified Public Accountants Societe Anonyme and Deloitte Alexander Competence Center Single Member Societe Anonyme of Business Consultants, is not, by means of this communication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte organization shall be responsible for any loss whatsoever sustained by any person who relies on this communication. Deloitte organization refers to Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms and their related entities collectively. © 2026 For more information contact Deloitte Central Mediterranean.

AI & Data Engineer (Junior) @ Thessaloniki, Patras

Intellectica is recruiting an AI Technical Architect on behalf of a leading technology services group headquartered in Athens, Greece, operating under a hybrid working model. The selected candidate will join a high-performing Data &amp; AI team and will play a pivotal role in designing, developing, and deploying cutting-edge AI solutions, contributing to transformative initiatives that enhance business performance, unlock new value streams, and drive innovation across diverse industries.Key activities and responsibilities of this role include:&nbsp;<ul><li>Leading the end-to-end architecture and delivery of scalable, enterprise-grade AI solutions, aligning technical design with business strategy, governance, and long-term innovation objectives, while advising clients on AI strategy, modernization roadmaps, and responsible AI adoption</li><li>Architecting and implementing end-to-end Generative and Agentic AI solutions; including agent orchestration, model selection, system integration, and agentic workflows (multi-agent systems, MCP integrations, A2A protocols) from discovery and design through deployment and scaling</li><li>Designing cloud-native AI and Machine Learning solutions across AWS, Azure, and GCP, ensuring performance, resilience, continuous improvement, and cost-efficient scalability</li><li>Collaborating with data engineering teams to design data platforms, vector databases, RAG architectures, feature stores, and knowledge retrieval systems</li><li>Driving the implementation of MLOps / LLMOps pipelines, enabling continuous delivery, monitoring, governance, and lifecycle management of AI models</li><li>Overseeing system integrations, including APIs, microservices, enterprise networks, and security frameworks</li><li>Ensuring secure and cost-optimized architectures through API gateway integration, token and context-window budgeting, and resource utilization planning</li><li>Providing architectural leadership in client workshops, technical assessments, and solution reviews</li><li>Any other task that may be required from time to time</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree or PhD will be considered an asset</li><li>Minimum of 5 years of experience in Cloud Architecture, with strong expertise in at least one major cloud provider (AWS, Azure, or GCP) and hybrid enterprise environments, applying secure integration patterns</li><li>Strong software engineering background with hands-on development in Python and/or Java, including API design, microservices, distributed systems, and Kubernetes-based container orchestration</li><li>Solid understanding of network architecture, security models, and enterprise system integrations within cloud-native environments</li><li>Strong experience with modern data platforms (data lakes, lakehouses, distributed storage, real-time pipelines) and Retrieval-Augmented Generation (RAG) architectures, including vector databases, embeddings, and semantic search</li><li>Proven track record in designing and delivering Generative and Agentic AI solutions, including LLM orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen, Vertex AI), multi-agent workflows, and advanced prompt engineering and model optimization techniques</li><li>Experience establishing and guiding MLOps / LLMOps practices, enabling model deployment, monitoring, versioning, governance, and lifecycle management using cloud-native or open-source tooling, alongside DevOps and CI/CD best practices</li><li>Exposure to AI governance, responsible AI principles, model risk management, and compliance frameworks</li><li>Cloud certifications (AWS, Azure, GCP) are considered an asset; prior consulting or client-facing experience is highly desirable</li><li>Fluency in Greek with professional-level English communication skills</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Hands-on engineering mindset with rapid prototyping capabilities and iterative solution development</li><li>Comfortable working within a global, highly collaborative team environment</li><li>Architectural thinking with the ability to design complex, distributed AI systems</li><li>Proactive, dependable, and results-driven professional mindset</li></ul>

AI Technical Architect

Intellectica is recruiting a highly skilled Senior Autonomous Systems Engineer for a newly established AI &amp; Machine Learning spinoff within a leading aerospace, defense, and high-technology group, based in Psixiko, Atttiki, operating under a hybrid working model. Reporting directly to the CTO, the ideal candidate will actively contribute to the design and development of next-generation autonomous and intelligent systems. Working across the full autonomous systems stack, from perception and planning to system orchestration and deployment, the candidate will shape scalable, production-grade AI-driven platforms.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Design and evolve the software architecture of advanced autonomous systems and high-performance AI platforms, in collaboration with cross-functional teams (ML, Data Science, Vision AI)</li><li>Own and drive the end-to-end implementation of complex features within autonomous frameworks, ensuring scalability and performance</li><li>Develop robust, high-performance software components primarily in C++ and Python, adhering to engineering best practices</li><li>Design and implement core modules across perception, sensor fusion, localization, planning, control, and decision-making systems</li><li>Integrate and optimize autonomous frameworks and middleware stacks for real-world deployment, including close collaboration with AI/ML engineers for production-grade systems</li><li>Contribute to simulation environments, validation pipelines, and hardware/software integration, ensuring system-level consistency and performance</li><li>Drive code quality and system reliability through peer reviews, testing strategies (unit, integration, simulation, stress), and identification of architectural improvements and performance bottlenecks</li><li>Support CI/CD pipelines and deployment workflows, while ensuring quality, safety, cybersecurity, and reliability across the full product lifecycle, and contributing to mentoring and engineering excellence initiatives</li><li>Represent the organization in technical discussions, meetups, conferences, and customer-facing innovation initiatives</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>Bachelor’s degree in Computer Science, Electrical &amp; Computer Engineering, Robotics, Mechanical Engineering, or a related technical field</li><li>5+ years of professional experience in Autonomous Systems, Robotics, or Software Engineering, with strong expertise in C++ and Python</li><li>Proven experience working with autonomous frameworks, robotics middleware, and real-time distributed systems</li><li>Solid understanding of key autonomy domains, including perception, localization, sensor fusion, planning, and control</li><li>Strong software engineering foundation, including multithreading, system design, APIs, performance optimization, and development in Linux environments</li><li>Hands-on experience with hardware–software integration, including working with sensor systems (LiDAR, cameras, GNSS, IMUs, radar)</li><li>Experience with ROS/ROS2 ecosystems, including data formats, as well as simulation and validation environments for autonomous systems</li><li>Familiarity with CI/CD pipelines, Docker, containerized environments, and modern development workflows</li><li>Exposure to cloud-native architectures, edge computing, GPU acceleration, or high-performance computing</li><li>Knowledge of functional safety, cybersecurity, and experience integrating AI/ML models into production-grade autonomous systems</li><li>Proficient in Greek and English</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Strong analytical and problem-solving skills with the ability to decompose complex technical challenges</li><li>Passion for building reliable, scalable, and intelligent autonomous systems</li><li>Ability to work effectively in interdisciplinary teams with highly skilled engineers and scientists</li><li>Strong communication skills and the ability to explain complex technical concepts in a structured manner</li><li>You embrace a feedback culture and actively contribute to continuous improvement</li><li>High sense of ownership, accountability, and engineering craftsmanship</li></ul>

Senior Autonomous Systems Engineer

Are you a self-starter with strong problem-solving skills, capable of owning and implementing solutions from start to finish? Do you enjoy tackling the challenge of solving complex Big Data analytics problems using state-of-the-art technologies?We are seeking a highly skilled and motivated&nbsp;Senior Data Engineer&nbsp;to join our growing global team of data engineering professionals. You will play a key role in building robust, scalable data-driven solutions that support critical decision-making processes for our Property &amp; Casualty business domain.This is an exciting opportunity to work on cutting-edge Data Transformation projects that utilize Big Data and Machine Learning to solve emerging challenges.The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Design and build scalable data pipelines and data-driven solutions to support robust analytics and business decision-making</li><li>Collaborate with cross-functional teams to gather requirements, align on data needs, and ensure seamless delivery of solutions</li><li>Implement data modeling, documentation, and optimization strategies to streamline performance and usability</li><li>Develop data analytics tools and dashboards to effectively communicate insights and trends</li><li>Leverage modern coding languages like Python or TypeScript to create reliable and maintainable software components</li><li>Ensure data accuracy, validation, and monitoring processes are automated and efficient</li><li>Apply Agile methodologies, including Scrum, to expedite project delivery and enhance collaboration</li><li>Take ownership of projects, driving them from inception to completion with minimal oversight</li><li>Solve complex Big Data problems using advanced technologies like Palantir Foundry and Machine Learning techniques</li></ul>Requirements<ul><li>Bachelor's degree or equivalent in Computer Science, Data Science, or a related field</li><li>2+ years of hands-on experience&nbsp;in data and technology</li><li>Expertise in modern coding languages like Python or TypeScript</li><li>Familiarity with SQL and relational database concepts</li><li>Proficiency in data analytics and visualization tools</li><li>Background in Scrum and Agile development approaches</li><li>Understanding of building data-driven applications with storytelling capabilities</li><li>Good communication skills in English to articulate complex ideas effectively to non-technical stakeholders</li></ul>Nice to have<ul><li>Knowledge of Palantir Foundry and Microsoft Power BI</li><li>Experience with Machine Learning or Generative AI</li><li>Knowledge of PySpark for large-scale data processing</li><li>Familiarity with HTML, CSS, JavaScript, and Gradle</li><li>Knowledge of the insurance domain, the financial industry, or finance functions within other industries</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest

Senior Data Engineer

We are seeking a&nbsp;Senior Data Engineer&nbsp;to design and implement robust, scalable data-driven solutions that support key decision-making processes within the Property &amp; Casualty business domain.This role offers the opportunity to work on cutting-edge projects utilizing Big Data and Machine Learning to address emerging challenges in the insurance industry.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Design and build scalable and efficient data systems to enable data-driven decision-making</li><li>Collaborate with cross-functional teams to gather and understand data requirements</li><li>Implement data pipelines to extract, transform, and load (ETL/ELT) data from various sources</li><li>Develop data models that support advanced analytics and reporting needs</li><li>Utilize modern programming languages to build data-driven applications focused on user needs</li><li>Ensure the quality and reliability of datasets through validation and testing</li><li>Visualize data insights and tell compelling stories through dashboards using tools like Microsoft Power BI</li><li>Optimize performance and scalability of data infrastructure to meet growing business demands</li><li>Maintain thorough documentation of data architecture, pipelines, and processes</li><li>Stay updated on industry trends and emerging technologies to propose innovative solutions</li><li>Adhere to Agile and Scrum methodologies to ensure effective project delivery</li><li>Support the adoption and use of advanced platforms such as Palantir Foundry</li></ul>Requirements<ul><li>Bachelor's degree in Computer Science, Data Science, or a related field</li><li>3+ years of experience in data engineering, analytics, or related fields</li><li>Expertise in Python, TypeScript, and SQL with a deep understanding of relational databases</li><li>Skills in data modeling, data visualization, and storytelling with data</li><li>Proficiency in Microsoft Power BI and familiarity with Agile development approaches like Scrum</li><li>Experience working with Palantir Foundry or other advanced data platforms</li><li>Background in Insurance, Financial Services, or Finance-related industries is a strong advantage</li><li>Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders</li></ul>Nice to have<ul><li>Knowledge of Big Data technologies and frameworks</li><li>Proficiency in PySpark for distributed data processing</li><li>Background in Machine Learning or Generative AI applications</li><li>Familiarity with insurance domain concepts or the Property &amp; Casualty business</li><li>Understanding of ETL/ELT solutions and best practices</li><li>Familiarity with HTML, CSS, JavaScript, and Gradle</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest

As an AI Software Architect (m/f/d), you will play a key role in designing, developing, testing, and maintaining machine learning and AI-driven solutions to build scalable backend services that integrate AI models into production systems, including responsible use of AI tools such as Claude Code or similar. Your responsibilities include:<ul><li>Contribute to software architecture, design reviews, and technical planning sessions to&nbsp;evaluate, and deploy large language models (LLMs) and other ML architectures.</li><li>Use modern AI tools and AI-enhanced workflows to accelerate implementation, including code generation, refactoring and testing while maintaining architectural integrity</li><li>Participate in and sometimes lead code reviews and peer programming sessions&nbsp;to define AI requirements.</li><li>Troubleshoot and resolve complex technical issues within the development lifecycle</li><li>Coordinate technical workstreams and ensure design and implementation consistency.</li><li>Research and prototype new AI technologies to expand the product’s capabilities.</li></ul>Your ProfileYour know-how<ul><li>5+ years of of professional software development experiencein Python.</li><li>Deep understanding of software architecture, design patterns, and system integration principles</li><li>Hands-on experience with ML frameworks and knowledge of MLOps tools (Docker, Kubernetes)</li><li>Experience building scalable APIs and integrating ML models and LLM into production environments</li></ul>Your personality<ul><li>Excellent problem-solving and analytical thinking skills</li><li>Experience mentoring other developers or leading small teams</li><li>Strong technical leadership and decision-making skills</li><li>Strong communication skills with fluency in written and spoken English</li></ul>We OfferOur offer<ul><li>30 days of vacation&nbsp;(regardless of the length of service)</li><li>Private health insurance for our employees and their dependents (spouse/children)</li><li>In-depth, comprehensive training (approx. 1-3 months) in Germany at our expenses included one monthly flight back to Greece during the whole training period</li><li>Go for EAT - Ticket restaurant card</li><li>Modern hybrid way of working, characterized by flexible working arrangements</li><li>Team-oriented working environment and a broad variety of tasks in an international and diverse team, based on trust and transparency</li><li>Continuous opportunity for personal and professional development and learning</li><li>Personal company hardware</li><li>Free snacks and beverages</li></ul>

AI Software Architect (m/f/d)

The MLOps Platform team builds and operates Pfizer’s self-service MLOps platform. We give researchers, ML scientists, and application developers a paved road to discover, validate, register, deploy, and consume models under enterprise security and compliance constraints.What you’ll do<ul><li>Contribute to the evolution of the platform through design documents and implementation of cross-cutting improvements across validation, serving, registry, and infrastructure.</li><li>Drive our multi-cloud and Kubernetes expansion (AWS today, GCP and GKE next), keeping both runtimes coherent behind shared abstractions for deployment, observability, auth, and audit.</li><li>Own the managed serving and registry lifecycle end-to-end, including network-isolated validation, approvals, and integration with a shared GenAI gateway.</li><li>Own the infrastructure, build, and runtime stack: Terraform across providers, container orchestration, CI/CD, and a vendor-agnostic observability and on-call model.</li><li>Take end-to-end ownership of features and platform components, from requirements gathering and design to implementation, deployment, and production support, contributing to overall engineering quality.</li></ul>What we’re looking for<ul><li>Senior platform/backend experience, with multiple years owning a production system end-to-end.</li><li>Strong Python skills, with enough frontend literacy to review and contribute across the stack.</li><li>Kubernetes in production and Terraform across multiple environments and providers; experience with at least one of AWS or GCP (and ability to learn the other).</li><li>A track record of writing design documents, ADRs, and runbooks — not just code.</li></ul>Nice to have<ul><li>Hands-on experience operating ML serving or model registry systems in production.</li><li>Experience evolving a platform from single-cloud to multi-cloud without forking the product.</li><li>GitOps (ArgoCD / Flux), hermetic monorepo builds, and shared GenAI gateway integrations.</li><li>Experience working in regulated environments with audit, SSO, and approval workflows.</li></ul> If you’re excited about the work and believe you can grow into the rest, we’d love to hear from you!

Staff Engineer, AI Infrastructure & MLOps 4946212

As a Senior AI Developer, you will be involved in the end-to-end design, implementation, and management of technology-based business solutions based on Agentic AI workflows to improve our clients’ delivery approach. You will act as a technical pillar for the team, guiding developers, enforcing best practices, and continuously exploring new AI tools to meet both functional and technical requirements while maintaining an end-to-end architecture overview.&nbsp; &nbsp;&nbsp;Responsibilities:<ul><li>Analyzing new and existing AI capabilities and creating solutions that meet stakeholder requirements and standards</li><li>Owning the end-to-end delivery of Agentic AI solutions, which includes developing, testing, and releasing production-ready workflows</li><li>Guiding, assisting, and conducting technical reviews for development teams to ensure the strict application of software and AI best practices</li><li>&nbsp; Continuously researching, evaluating, and integrating new AI libraries, frameworks, and engineering methodologies to keep our tech stack at the cutting edge</li><li>Designing and overseeing the end-to-end architecture overview to ensure scalable and reliable AI microservices</li><li>&nbsp;&nbsp; Contributing to the refinement of technical requirements and translating them into robust AI logic</li><li>Creating and updating applicable technical documentation for AI architectures and agent networks</li><li>&nbsp; Coaching and mentoring other team members on Generative AI best practices, quality standards, and design principles</li><li>Collaborating with DevOps and cross-functional teams to build automated quality MLOps pipelines for multicloud deployments</li><li>Promoting best practices for building and operating highly reliable AI systems, to our clients&nbsp;</li></ul>QualificationWHO WE´RE LOOKING FOR?<ul><li>Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field</li><li>Proven track record of technical leadership, with the ability to review code/architecture, guide engineering teams, and drive the adoption of best practices</li><li>A strong research-oriented mindset, passionate about discovering, testing, and implementing the latest AI libraries, tools, and Agentic design patterns</li><li>Deep experience in developing custom agent skills and designing advanced communication patterns, including Agent-to-Agent (A2A) and Agent-to-UI (AG-UI / Agentic UI) interactions</li><li>Proven ability to design and implement strict Agent Authorization mechanisms and Responsible AI guardrails to ensure safe system operations</li><li>Extensive working knowledge of LLMs and frameworks for building Agentic workflows, specifically LangChain and LangGraph&nbsp;</li><li>Deep experience with Context Engineering, Prompt Engineering, and advanced RAG (Retrieval-Augmented Generation) patterns&nbsp;</li><li>Experience designing and utilizing Vector DBs (e.g., Pinecone, Milvus) and Graph DBs (e.g., Neo4j)&nbsp;</li><li>Familiarity with model evaluation methodologies (e.g., RAGAS, LLM-as-a-judge) and observability/tracing tools like Langfuse&nbsp;</li></ul>WHAT'S IN IT FOR YOU?<ul><li>Competitive benefits, including a fair and balanced parental leave policy.</li><li>At Accenture, we believe in bringing the best to our clients through continuous learning &amp; improvement – from basic skills to industry-specific content – available to all our people.</li><li>Career coaching and mentorship to help you manage your career and develop professionally.</li><li>Performance Achievement – our performance management process that focuses on your strengths, progress and career possibilities.</li><li>Fantastic opportunities to develop your career across a variety of clients.</li><li>Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work.</li></ul>

Senior AI Developer

We are looking for a MLOps/DevOps Engineer to support the development, deployment, and scaling of modern cloud-native and AI-driven systems. This role sits at the intersection of Software Engineering, Cloud Infrastructure, and AI/ML operations. You will work closely with Engineering, AI, and Data teams to ensure that applications and ML models are reliable, scalable, and production-ready.This is a hands-on role with strong growth potential toward Senior DevOps, MLOps Specialist, or Platform Engineer positions. The key responsibilities of this role will include:• Support CI/CD pipelines for application and service deployments (Azure DevOps) • Assist in managing cloud infrastructure (primarily Azure) • Work with containerized environments (Docker, Kubernetes) • Support deployment and lifecycle management of ML/AI models• Support deployment of React/Spring boot applications • Work with LLM-based systems (APIs, RAG pipelines, integrations) • Improve system reliability through monitoring and alerting tools • Contribute to logging, observability, and incident response processes • Collaborate with Software Engineers, Data Scientists, and AI Engineers • Support integration of backend systems with AI components • Communicate technical issues and solutions clearly to stakeholders • Identify inefficiencies and proactively propose automation solutionsTo be successful at this role you need the following (hard and soft skills):• BSc. in Computer Science, Engineering, or a related discipline• Up to 3 years of experience in DevOps, Cloud Engineering, or similar roles • Basic understanding of CI/CD pipelines and DevOps practices• Familiarity with deployments, APIs, or pipelines • Hands-on experience with Docker and exposure to Kubernetes • Familiarity with Cloud platforms (Azure preferred) • Understanding of Linux environments and scripting (Bash/Python)<ul><li>Strong problem-solving mindset</li><li>Willingness to learn and grow in a fast-evolving environment</li><li>Ability to collaborate effectively across technical teams</li><li>Clear communication skills for both technical and non-technical audiences</li><li>Proactive attitude with strong ownership mentality</li></ul>Strong Assets:<ul><li>Understanding of LLM concepts (APIs, prompt-based systems, RAG)</li><li>Exposure to ML workflows or AI systems</li><li>Exposure to monitoring tools (e.g., Prometheus, Grafana, Azure Monitor)</li><li>Basic knowledge of Infrastructure as Code (IaC)</li></ul>What’s in it for You?At Grant Thornton Greece, we believe that great work deserves great rewards! Here’s what you can look forward to:<ul><li>🌈 Diverse and inclusive workplace</li><li>🏋️‍♂️ Friendly, Dynamic Working environment</li><li>💰 Competitive Salary &amp; Bonus</li><li>🩺 Insurance Program for all GT members</li><li>👩‍🏫 Fully funded Training &amp; Professional Qualifications</li><li>🏖 Extra Days-off: August Freedays, Volunteering Days</li><li>🏃🏽‍♂️ Corporate Sports Teams (e.g., Running, Basketball, Volleyball)</li><li>🎁 Exclusive Discounts: Special offers and discounts for employees</li><li>🚗 Company Car (depending on job level)</li></ul>

MLOps/DevOps Engineer

We are searching for a&nbsp;Lead Data Software Engineer&nbsp;to join our team and oversee the development of our cutting-edge supply-chain data analytics platform.This platform delivers a comprehensive view of suppliers, products, material categories, shipments, and compliance activities while employing artificial intelligence to generate insights and recommendations tailored to our clients’ needs.If this role excites you – apply!The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Design and develop data architectures and ETL pipelines utilizing Databricks and external orchestrators such as Airflow</li><li>Collaborate with machine learning teams to incorporate AI-driven insights into the platform</li><li>Develop system-level improvements and components for data engineering workflows</li><li>Optimize the performance and scalability of data-intensive applications</li><li>Adhere to software engineering standards, including containerization, unit testing, linting, and code style reviews</li><li>Maintain and improve data workflow, Delta Lake, and Delta Live Tables within Databricks</li><li>Provide technical mentorship and leadership to the data engineering team</li><li>Engage with clients and stakeholders to understand their requirements and offer customized solutions</li><li>Tackle challenges independently and ensure successful project delivery</li></ul>Requirements<ul><li>Experience leading data engineering efforts on projects utilizing Databricks</li><li>Solid understanding of data architectures and skills in data modeling</li><li>Background in designing and building ETL pipelines in Databricks with external orchestrators such as Airflow</li><li>Hands-on expertise in Databricks (Delta Lake, workflows, Delta Live Tables, deployment, and versioning)</li><li>Proficiency in Python and cloud-native technologies</li><li>Competency in Spark/PySpark</li><li>Engineering experience with either AWS or Azure</li><li>Knowledge of big data and techniques for optimizing data-intensive applications</li><li>Strong communication skills with a proactive attitude and client-facing experience</li><li>Ability to navigate ambiguity and complete projects independently</li><li>Comfort working in a dynamic and transparent startup environment</li><li>Fluent English communication skills at a C1 level</li></ul>Nice to have<ul><li>Proficiency in configuring and managing CI/CD pipelines in Azure DevOps</li><li>Familiarity with Data Observability and Data Quality Monitoring practices</li><li>Capability to integrate data quality checks into data pipelines</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

Lead Data Software Engineer (Databricks)

We’re looking for a hands-on AI Engineer to build best in class applications and solutions at Betsson Group. You’ll develop AI solutions and applications, context systems and AI Agents, maintain and enhance multiple AI system and products, research frontier models and collaborate with product and architecture teams to deliver high-performing services used by millions of players.&nbsp;This is an opportunity to work with bleeding edge technology, build world-class products.&nbsp;A taster of what you will be involved with:&nbsp;&nbsp;<ul><li>As an engineer, your focus will be on developing and maintain, modular and reusable systems, explore new technologies and find solutions to enhance our products.</li><li>You’ll participate on design discussions, troubleshoot complex problems, and contribute directly to our codebase.&nbsp;</li><li>You’ll also play a key part in building a collaborative, high-performing team culture. Whether reviewing code, or supporting other engineers and tech lead..</li></ul>&nbsp;What we are looking for&nbsp;<ul><li>Proven experience developing and delivering production ready AI Applications</li><li>Strong technical background in Generative AI, LLMs and Prompt Engineering</li><li>Experience building context systems using RAG, Vector Stores and MCP</li><li>Experience on developing AI Agents using frameworks like LangGraph and LangChain</li><li>Experience mentoring or leading engineers in a technical capacity</li></ul>&nbsp;&nbsp;What we offerMuch like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

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