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Our 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>3&nbsp; years of hands-on experience developing and deploying machine learning models.</li><li>Proven people management or team leadership experience.</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>Fluent in English, both written and spoken.</li></ul>Nice to Have<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>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>

Mid ML Engineer

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 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>

Στην Optima bank χρίζουμε το μέλλον της τραπεζικής μέσα από την Τεχνητή Νοημοσύνη και προσκαλούμε νέους επαγγελματίες να γίνουν μέρος αυτής της διαδρομής. Στο AI Center of Excellence, ο ρόλος του/της AI Junior Engineer προσφέρει την ευκαιρία απόκτησης hands on εμπειρία σε έργα AI με πραγματικό επιχειρησιακό αντίκτυπο, συνεργασία με έμπειρα στελέχη και να εξέλιξη σε ένα σύγχρονο, υποστηρικτικό περιβάλλον.Κύριες αρμοδιότητες<ul><li>Συμμετοχή στον σχεδιασμό και την υλοποίηση λύσεων Τεχνητής Νοημοσύνης για την τράπεζα.</li><li>Υποστήριξη της ομαλής λειτουργίας εφαρμογών AI σε περιβάλλον παραγωγής.</li><li>Συμμετοχή στη συνεχή βελτίωση και εξέλιξη των AI λύσεων σε συνεργασία με ομάδες IT και Business.</li><li>Αξιοποίηση των σύγχρονων εργαλείων ΑΙ Microsoft Copilot.</li></ul>Απαιτούμενες δεξιότητες<ul><li>Πτυχίο σε Πληροφορική, Μηχανική Υπολογιστών, Μαθηματικά, Στατιστική, Data Science ή συναφή τομέα.</li><li>Βασική γνώση Machine Learning / Artificial Intelligence.</li><li>Καλή γνώση Python (ή/και R).</li><li>Εξοικείωση με εργαλεία και βιβλιοθήκες AI.</li><li>Κατανόηση βασικών εννοιών data processing και μοντέλων AI.</li><li>Εξοικείωση ή έντονη διάθεση εκμάθησης στη χρήση Microsoft Copilot / AI εργαλείων παραγωγικότητας.</li><li>Αναλυτική σκέψη, υπευθυνότητα και διάθεση για συνεχή μάθηση</li><li>Ικανότητα συνεργασίας σε ομάδες (IT, Business).</li><li>Πολύ καλή γνώση Αγγλικής γλώσσας.</li></ul>

Junior engineer, Officer - AI center of excellence

Intellectica is recruiting an experienced and highly skilled Principal Data Scientist on behalf of a newly established AI &amp; Machine Learning startup, which will be integrated into a leading group of companies operating in the aerospace, defense, and high-technology sector. This startup aims to develop cutting-edge AI-driven solutions tailored to the aerospace and defense industry. This role reports directly to the CTO and plays a central role in defining and executing the company’s data science strategy.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Architecting innovative data science solutions that ensure scalability, robustness, and reliability across diverse domains</li><li>Leading product-level modeling strategies end-to-end, from research and prototyping to production deployment and monitoring</li><li>Defining and promoting best practices across the data science lifecycle, aligned with the company’s MLOps operating model</li><li>Coaching and mentoring senior data scientists, fostering skill development and consistency across teams</li><li>Collaborating with ML and Site Reliability Engineers to shape the AI infrastructure roadmap and technology portfolio</li><li>Advising on business development strategy, identifying market opportunities where AI offers a competitive edge</li><li>Translating complex operational challenges into data-driven solutions for public sector clients and partners</li><li>Driving exploration and adoption of emerging technologies such as distributed LLM inference, foundational model fine-tuning, and simulation-based ML</li><li>Contributing to the development of Verification &amp; Validation methods for AI in safety- and mission-critical contexts</li><li>Ensuring secure and responsible use of AI across all projects</li><li>Representing the company in external conferences, expert panels, and consortia, leading thought leadership in defense-focused AI</li></ul>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>PhD or equivalent graduate degree in Data Science, Machine Learning, Computer Science, Statistics, Informatics, or a related quantitative field</li><li>Minimum 8 years of experience in advanced data science and machine learning, with a strong track record of production-level solution delivery</li><li>Deep proficiency in Python and its ML ecosystem (e.g., Pandas, NumPy, PyTorch, TensorFlow, Hugging Face)</li><li>Expertise in full ML workflows including data engineering, model design, training, deployment, and lifecycle management</li><li>Proven experience with large-scale or distributed ML systems (e.g., Ray, PyTorch Lightning, Horovod)</li><li>Demonstrated proficiency in at least two of the following: large language models, computer vision, multimodal learning, generative AI</li><li>Hands-on experience integrating ML models into operational systems with real-time performance monitoring</li><li>Familiarity with cloud-native and high-performance computing environments (AWS, Azure, GCP, or on-prem HPC)</li><li>Experience with computer vision algorithms (e.g., R-CNN, YOLO)</li><li>Proficient in Greek and English</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Excellent communication and interpersonal skills to engage effectively with internal and external stakeholders across all levels</li><li>Strategic thinker with ability to align research with mission needs</li><li>Inspiring leader and mentor across data science teams</li><li>Fast and creative prototype builder</li><li>Decisive in ambiguous, high-stakes situations</li><li>Resilient and adaptable in dynamic environments</li><li>Collaborative and alignment-driven across teams and partners</li></ul>

Senior Data Scientist

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

Energean is seeking a motivated and capable AI &amp; Data Engineer to join our team in Athens and support the delivery of digital, data, and AI-driven solutions across a dynamic Oil &amp; Gas Group.&nbsp;Reporting to the Head of Business Solutions &amp; ERP, this role is ideal for an early to mid-career professional with a strong academic background and hands-on experience in data engineering, software development, data management, and modern Microsoft technologies.&nbsp;The successful candidate will contribute to the design, development, and continuous improvement of scalable data pipelines, analytic platforms, and AI solutions that enhance business operations, decision-making, and process efficiency across the organization.&nbsp;Key Accountabilities&nbsp;<ul><li>Contribute to the design, development and deployment of data platforms and AI-driven solutions in collaboration with internal stakeholders and external partners</li><li>Build, optimise, and maintain SQL queries, data models, and database structures for reporting, analytics and business intelligence</li><li>Develop data pipelines and workflows to ingest, transform, and manage structured and unstructured data</li><li>Develop and implement automations, applications, and AI-enabled solutions using Microsoft technologies (e.g. Power Platform, Azure AI, Copilot Studio), SAP, and other tools</li><li>Translate business requirements into scalable technical solutions, ensuring alignment with business needs and best practices</li><li>Support testing, troubleshooting, documentation, and continuous improvement of digital and AI solutions</li><li>Ensure data quality, integrity, and governance standards are maintained across solutions</li></ul>&nbsp;Qualifications and Experience&nbsp;<ul><li>1–4 years of relevant experience in data engineering, software development, or similar roles</li><li>Degree in Computer Science, Engineering, IT, or a related discipline</li><li>Hands-on experience with SQL, data modelling, and relational databases</li><li>Experience with Microsoft ecosystem (e.g. Power Platform, Azure services, Copilot Studio)</li><li>Programming experience in Python or other modern programming languages</li><li>Exposure to data visualization tools (e.g. Power BI) and analytics solutions</li><li>Basic understanding of AI, machine learning, and/or generative AI concepts</li><li>Familiarity with APIs, data integration, and automation tools will be considered an asset</li><li>Exposure to enterprise systems (e.g. SAP) and business processes is a plus</li><li>Excellent command of English (written and verbal)</li></ul>&nbsp;Skills&nbsp;<ul><li>Strong analytical thinking and problem-solving capabilities</li><li>Proactive, detail-oriented, and results-driven mindset</li><li>Ability to work both independently and collaboratively in a fast-paced environment</li><li>Strong communication skills with the ability to engage both technical and non-technical stakeholders</li><li>High level of ownership and accountability</li></ul>&nbsp;Rewards:We offer a competitive remuneration and benefits package including private medical insurance, pension plan, life insurance, and continuous learning and career development opportunities within a growing international organization.&nbsp;If you are passionate about data, AI, and building impactful digital solutions in a complex and evolving industry, we would love to hear from you.

AI & Data Engineer

Intellectica is recruiting a highly skilled 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 play a key role in shaping and executing the company’s AI and data science strategy while contributing to the design, development, and optimization of intelligent autonomous systems. Working across the full autonomous systems stack, with close collaboration among engineers, AI specialists, and platform teams, the candidate will deliver scalable, reliable, and high-quality solutions.&nbsp;&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Contribute to the design, development, and optimization of software components for AI-driven and autonomous systems</li><li>Develop and maintain robust, scalable software using C++ and Python, ensuring code quality through best practices and peer reviews</li><li>Support the implementation of core modules, including perception, localization, planning, sensor integration, and system orchestration</li><li>Collaborate on architecture design, system integration, and technical enhancements, working closely with senior engineers and cross-functional teams</li><li>Integrate and validate autonomous frameworks and middleware solutions (e.g., ROS/ROS2), including work within simulation and validation environments</li><li>Contribute to AI/ML integration and development of software interacting with sensor systems (LiDAR, cameras, GNSS, IMUs, radar)</li><li>Support CI/CD pipelines, Dockerized environments, and deployment processes, including troubleshooting and performance optimization across development and production</li><li>Ensure system quality, reliability, and safety across the full software lifecycle while contributing to a strong engineering culture</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>1+ years of professional experience in Software Engineering, Robotics, or Autonomous Systems, with hands-on expertise in C++ and Python</li><li>Solid understanding of autonomous systems concepts, including perception, localization, sensor fusion, planning, or control</li><li>Strong foundation in software engineering fundamentals, including algorithms, data structures, object-oriented design, and Linux-based development</li><li>Experience with Git, collaborative development workflows, debugging, and writing maintainable, testable code</li><li>Familiarity with APIs, multithreading, containerization, and modern software development practices</li><li>Proficient in Greek and English</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Strong analytical and problem-solving skills, combined with a structured and detail-oriented way of working</li><li>Ability to work independently while collaborating effectively within cross-functional teams, with clear communication of technical concepts</li><li>Genuine passion for autonomous systems, robotics, and AI-driven technologies</li><li>Growth mindset with willingness to learn, openness to feedback, and commitment to continuous improvement in a fast-paced environment</li></ul>

Autonomous Systems Engineer

Intellectica is recruiting an AI Foundation Model Specialist 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, development, and delivery of advanced AI solutions, ensuring alignment with business objectives and scalable technology standards</li><li>Developing, testing, and deploying Generative and Agentic AI applications, including agent-based workflows</li><li>Implementing Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, advanced prompting strategies (e.g., few-shot, chain-of-thought), fine-tuning techniques, and integrate both open-source and general-purpose AI systems</li><li>Collaborating with AI engineers and software developers to deploy AI models into cloud environments (AWS, GCP, Azure)</li><li>Cooperating with Data &amp; AI Architects to design robust and scalable AI product architecture</li><li>Optimizing AI applications for performance, scalability, and accuracy</li><li>Coaching and mentoring junior AI Engineers in developing and integrating key AI application components</li><li>Any other task that may be required from time to time</li></ul>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 2 years’ hands-on programming experience in Artificial Intelligence (AI), Natural Language Processing (NLP), Machine Learning, Deep Learning, or related fields</li><li>Proficiency in programming languages such as Python, Java, or C++</li><li>Hands-on experience with Large Language Models (LLMs) such as GPT, Bard, or LLaMA, as well as image generation systems like DALL·E, Stable Diffusion, or MidJourney</li><li>Solid understanding of core Generative AI principles, including fine-tuning, prompt engineering, and integration of open-source and general-purpose AI systems</li><li>Proven ability to architect and operate solutions built on core LLM and Generative AI technologies, including open-source frameworks, Azure OpenAI, and Amazon Bedrock</li><li>Strong background in RESTful APIs and microservices-based architectures</li><li>Familiarity with GPU-based computing infrastructure, relational and NoSQL databases as well as cloud services related to AI/ML&nbsp;will be considered a plus</li><li>Fluent in Greek with professional-level English communication skills</li></ul>&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>Clear and confident communicator across cross-functional teams and stakeholders</li><li>Proactive, dependable, and results-driven professional mindset</li></ul>

AI Foundation Model Specialist

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

Everllence Hellas Ltd is looking for a Senior Data Engineer. The role requires you to work independently with strong ownership, while thriving in a collaborative, international team environment. You’ll build and maintain reliable data pipelines and ELT/ETL systems that power analytics, AI, machine learning, and data products across the organization.We can offer you the following tasks<ul><li>Shape the future of our digital solutions that boost performance, cut costs, and reduce emissions for global clients.</li><li>Design, build, and test scalable components for our next-generation digital platforms.</li><li>Collaborate with industry experts to develop and maintain advanced tools and analytics for monitoring engine fleets.</li><li>Innovate and experiment: Use our dedicated Innovation Friday to pitch ideas and drive meaningful change.</li></ul><ul><li>Design, build, and maintain scalable ELT/ETL data pipelines on our lakehouse to power analytics, AI/ML, and data products.</li><li>Develop robust data models (dimensional, medallion/lakehouse) that ensure accuracy, performance, and reusability.</li><li>Ensure data discoverability, security, and governance in close partnership with Data Governance, Security, Product, and Platform teams.</li><li>Establish observability (monitoring, alerting, logging, data quality checks) and contribute to platform operational excellence.</li><li>Innovate and experiment: Use our dedicated Innovation Friday to pitch ideas and drive meaningful change.</li></ul>You can help us with these qualifications<ul><li>Degree in Computer Science, Software/Data Engineering, or a related field (or equivalent experience).</li><li>Proven experience building highly available, cost-efficient data platforms and pipelines at scale.</li><li>Primary: Databricks, Spark, SQL, Python, data modelling / lakehouse design, AWS &amp; ETL/ELT.</li><li>Secondary: Workflow orchestration (Databricks Workflows, Airflow, Argo or similar), Kafka, cloud storage.</li><li>Nice to have: Kubernetes, platform migration experience, observability tooling</li><li>A growth mindset: curious, adaptable, and committed to continuous learning and knowledge sharing.</li><li>Excellent communication skills in English and a collaborative approach to international teamwork.</li><li>Self-driven, results-oriented, and a true team player.</li></ul>Benefits &amp; Learning Opportunities<ul><li>Attractive compensation package</li><li>Conference Budget</li><li>Continuous training opportunities</li><li>Opportunities for professional growth and advancement.</li><li>Work on impactful projects that shape the digital future of industrial solutions.</li><li>Be part of a culture that values innovation, autonomy, and continuous improvement.</li><li>Enjoy flexibility, global collaboration, and opportunities to grow your expertise.</li></ul>

Senior Data Engineer

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

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)

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>

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