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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

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

What impact will you make?#YourOpportunityWe are currently seeking for enthusiastic and self - driven Data Scientist professional with exceptional analytical skills and experience in consulting or financial services to become part of our rapidly growing Financial Risk Management team in our offices in Athens.Our Financial Risk Management (FRM) practice constitutes the fastest growing team in the local market with a proven track record of delivering large scale engagements across the industry during the recent past. Our practice forms part of Deloitte’s North South Europe (NSE) “One_FRM” initiative which brings together risk professionals from the UK, Italy, the Netherlands, Belgium, the Nordics, Switzerland, Ireland and Greece into one single team thus representing an excellent opportunity to join forces and fulfil the core principle of Deloitte to act “as one” at European level with the aim to continue offering “state of the art” and value-adding propositions to our clients and solve “real world” problems faced by Financial Institutions in Greece and abroad.We offer to our clients comprehensive solutions in the wide spectrum of financial risk areas focusing on credit and market risk as well as capital management, liquidity and treasury risk as a response to industry-wide challenges.If you are ready to advance your career to the next level in a challenging international environment, focusing on continuous learning and dynamic teamwork, both in Greece and abroad, you are ready to join Deloitte’s Financial Risk Management practice.#YourRoleDeloitte is a leading provider of Financial Risk Management Advisory services and thus offers the opportunity to work on high-profile projects and clients that are leaders in the industry.Our projects vary and your responsibilities will differ based on the focus of the client engagement and needs. However, your role could include and may require you to:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Develop and implement&nbsp;machine learning models&nbsp;for risk use cases such as:o&nbsp;&nbsp; credit scoring and risk segmentationo&nbsp;&nbsp; early warning systemso&nbsp;&nbsp; anomaly and fraud detectiono&nbsp;&nbsp; stress testing and scenario analysis·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Design and deploy&nbsp;Generative AI solutions, including:o&nbsp;&nbsp; automation of risk reporting and documentationo&nbsp;&nbsp; intelligent data extraction and summarization·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Apply&nbsp;advanced statistical and quantitative techniques&nbsp;to large datasets·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with risk and business teams to&nbsp;translate requirements into analytical models·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support&nbsp;model deployment and industrialization&nbsp;(APIs, pipelines, cloud environments)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure alignment with&nbsp;model risk management (MRM)&nbsp;practices·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Prepare high-quality&nbsp;client deliverables and presentations#WinningRequirementsWe are specifically seeking professionals who possess both technical and business skills, can clearly articulate the outcomes and value of their work, and can demonstrate the following:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2-5 years of relevant experience in&nbsp;banking or financial services, exposure to&nbsp;risk management use cases&nbsp;(credit, market, liquidity) is highly desirable·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong background in&nbsp;machine learning, statistics, and quantitative modeling·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Proficiency in&nbsp;Python&nbsp;(pandas, scikit-learn, TensorFlow/PyTorch)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with&nbsp;Generative AI / LLMs&nbsp;(prompt engineering, RAG, fine-tuning)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience delivering&nbsp;AI/ML solutions in production environments·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Knowledge of&nbsp;data engineering concepts&nbsp;(SQL, ETL, pipelines)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Knowledge of data visualisation tools and ability to create dashboards and reports·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Knowledge of the machine learning lifecycle, from prototyping state-of-the-art to scaling and managing for enterprise use·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Understanding of key considerations for Ethical and Responsible data and AI, and experience applying them·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ability to explain complex models to non-technical stakeholders·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong communication and presentation skills·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ability to work in cross-functional teams·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Problem-solving&nbsp; mindset#AboutDeloitteOur servicesDeloitte operates in Greece since 1975, as a member of one of the world’s largest professional services networks, Deloitte Touche Tohmatsu. With offices in Athens, Thessaloniki, Heraklion, Patras and Ioannina, Deloitte Greece employs more than 2,900 professionals.After 50 years of successful and dynamic presence in the Greek market, we bring an unmatched breadth and depth of expertise across audit and assurance, technology &amp; transformation, tax &amp; legal and strategy, risk &amp; transactions advisory services. Operating in a multidisciplinary model enables us to draw from a pool of world-class talent, identifying the ideal skillset for each project, and to collaborate across businesses, to solve the toughest, most challenging issues of our clients. It is with them that we have built a trusted relationship, by delivering innovative solutions and utilizing state-of-the-art tools and technologies across all industries- Consumer Products, Energy Resources &amp; Industrials, Financial Services, Life Sciences &amp; Health Care, Government &amp; Public Services, Technology, Media &amp; Telecommunications.Our PurposeOur purpose, “To make an impact that matters for our clients, our people and society “- defines who we are and what we stand for. This is not about size, it's about being the first choice. The first choice for the largest and most influential clients, and the first choice for the best talent.Our valuesAt Deloitte we foster a collaborative culture where talented individuals can produce their best work. We value innovative thinking, diverse insights and a genuinely distinctive level of customer service through our expertise and professionalism.We value difference, with respect at the heart of our inclusive culture.Our talent experienceFrom day one at our firm, practitioners are part of a community. Our development and career progression framework will help them develop the skills and capabilities to succeed. The wellness of our people and the ability to offer agile working arrangements is at the centre of our unique talent experience. We create a workplace that encourages collaboration, creativity, inclusiveness to ensure our staff are supported, encouraged and feel a sense of purpose and meaning in what they do each day.Sounds like the sort of role for you? Apply now.

Data Scientist - AI / GenAI for Financial Risk Management

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

We are seeking a Senior Data Scientist to join our expanding product data science team.You will be responsible for designing, developing, and maintaining data science models and deploying pipelines that enable scalable solutions. Your role involves close collaboration with development and commercial teams to enhance advertising trading recommendations and improve operational efficiency. You will have the opportunity to influence best practices and contribute to impactful projects. If you are passionate about applying advanced data science techniques to real-world problems, we encourage you to apply.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Translate product requirements into comprehensive data science solutions and manage end-to-end development pipelines</li><li>Take full ownership of data science development across various product features and modules</li><li>Collaborate closely with engineering teams and commercial stakeholders during the development lifecycle</li><li>Identify and research machine learning features with business impact and convert them into product functionalities</li><li>Evaluate risks and maintain a long-term focus on product quality and performance, proposing enhancements as required</li><li>Communicate proactively with project managers and stakeholders, resolving technical challenges efficiently</li><li>Support the team lead by recommending code and feature optimizations to reduce processing and storage expenses</li><li>Consider compute and storage costs during code reviews for peers</li><li>Ensure consistency in logic standards within the product and adhere to agile methodologies</li><li>Assist the team lead in onboarding and mentoring new team members on technical skills</li></ul>Requirements<ul><li>Minimum of 3 years of experience in data science projects</li><li>Strong understanding of machine learning techniques, including clustering, regression, classification, and deep learning</li><li>Experience using Databricks or similar notebook environments</li><li>Proficiency in Python and PySpark for processing large-scale datasets</li><li>Advanced skills in SQL and intermediate proficiency in Excel</li><li>Ability to translate business needs and product requirements into effective data science solutions</li><li>Experience in exploratory data analysis, data preprocessing, and feature engineering in big data environments</li><li>Familiarity with AWS or other cloud platforms for developing and deploying data pipelines and machine learning models</li><li>Experience with natural language processing applications</li><li>Knowledge of generative AI applications</li><li>Exposure to machine learning operations (MLOps)</li><li>Strong written and verbal English communication skills (B2+)</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>Option to work on your own device</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>

Senior Data Scientist Remote

As an Industrial Automation Engineer your role will be to participate and contribute in the Research, Development and Construction of Industrial Automation Systems for Machines &amp; Industrial Technologies required for BIC Products Industrialization, Production Lines Extension and Improvement of Existing Production Machines.In this role you will:&nbsp;<ul><li>Contribute in projects and tasks related to IIoT and Industry 4.0 Technologies</li><li>Contribute in investigations in the field of Industrial Automation through research studies</li><li>Participate and contribute in the development, design and implementation of the control systems for the new machines and processes</li><li>Contribute in the debugging, testing, delivery start up of the new machines in collaboration with the Machine Construction Team</li><li>Contribute in the improvements of the existing Production Machines and Processes</li></ul>What you'll bring to BIC:&nbsp;<ul><li>Technical University Degree in Electrical/Electronic Engineering in Industrial Automation field</li><li>Post-graduate studies in Electrical/Electronic or Industrial Automation Technologies</li><li>3 years’ experience on Industrial Automation is desirable</li><li>Advanced knowledge of English language (both written and verbal)</li><li>Machine Data Analytics and Deep Learning</li><li>Industrial Automation Technologies / Industrial Networks&nbsp;</li><li>Electronics Design</li><li>PLC / Visio systems Programming</li><li>Servo Motors / Robotics</li><li>Pneumatics / Mechanics</li><li>Metrology</li><li>Mechanical Drawing Understanding</li><li>Drive for results</li><li>Contributing to Team Success</li><li>Collaboration</li><li>Communication</li><li>Ingenuity and simplicity</li><li>Adaptability/Flexibility</li></ul>

Industrial Automation 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 Lead Data Scientist with expertise in Generative AI technologies, Python, and scalable machine learning solutions to design and deliver impactful AI applications. This role combines technical leadership with collaboration, driving innovation while aligning with business objectives.In this role, you will design and scale a sophisticated chatbot application leveraging Generative AI to simplify workflows and answer natural language questions by retrieving insights from APIs and unstructured data sources.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Combine technical leadership with strategic oversight to guide AI/ML initiatives</li><li>Own and manage the lifecycle of AI/ML models, from code development and evaluation to production deployment</li><li>Optimize and fine-tune models to ensure accuracy and high performance in real-world scenarios</li><li>Implement robust model evaluation and drift testing processes to maintain reliability</li><li>Establish and enforce coding and model standards to ensure production-grade quality</li><li>Collaborate closely with engineering and business teams to define project objectives, requirements, and roadmaps</li><li>Deliver scalable AI solutions, advancing prototypes to production-ready systems</li></ul>Requirements<ul><li>5+ years of professional experience in Data Science</li><li>1+ years of leadership experience in relevant roles</li><li>Proven proficiency in NLP/LLMs/GenAI methods</li><li>Advanced Python skills, with expertise in TensorFlow, PyTorch, and Scikit-Learn for AI model development</li><li>Proven expertise in building and deploying production-grade AI/ML models with robust pipelines, monitoring practices, and operationalization in real-world environments</li><li>Strong background in data analysis and probability for model interpretation and insights</li><li>Proficiency in Azure and/or AWS cloud platforms for scalable, reliable deployments</li><li>Capability to define and uphold high-quality coding practices for maintainable and efficient systems</li><li>Excellent communication skills for explaining technical concepts effectively to technical and non-technical stakeholders</li><li>English level of minimum B2 (Upper-Intermediate) for effective communication</li></ul>Nice to have<ul><li>Experience with DevOps practices such as CI/CD pipelines, code versioning, and automated testing frameworks</li><li>Familiarity with MLflow for tracking experiments and enhancing model deployment workflows</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>Option to work on your own device</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>

Lead Data Scientist

Senior Data Engineer Remote

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)

We are currently looking for an&nbsp;Advanced Analytics Engineer&nbsp;to join our&nbsp;Metallurgy&nbsp;sector Technology team in our industrial complex facilities located in&nbsp;Paralia Distomou,&nbsp;Viotia.&nbsp;Your role will encompass:• &nbsp; &nbsp;Analyze large and complex datasets to identify trends, patterns, and insights. • &nbsp; &nbsp;Develop and implement machine learning models to solve business problems such as process engancement, predict equipment failure, improve energy efficiency, optimize consumption of raw materials, etc. • &nbsp; &nbsp;Collaborate with cross-functional teams to integrate data-driven solutions into our metallurgy products and services. • &nbsp; &nbsp;Create and maintain data pipelines to ensure the availability and integrity of data. • &nbsp; &nbsp;Create visualizations and reports to present findings and recommendations to stakeholders in a clear and actionable manner. • &nbsp; &nbsp;Stay up-to-date with the latest trends and technologies in data science and the operation excellence sector. • &nbsp; &nbsp;Work with engineers, and other stakeholders to implement data-driven solutions in the metallurgy sector. What you bring to the role:&nbsp;• &nbsp; &nbsp;Bachelor's and/or Master's degree in Data Science, Computer Science, Statistics, or a related field. • &nbsp; &nbsp;Minimum of 1-2 years of experience as a Data Scientist, preferably in the industrial sector. • &nbsp; &nbsp;Excellent command of the Greek and English language. • &nbsp; &nbsp;Strong Python, R, and SQL skills, with experience in statistical analysis, data visualization, machine learning frameworks, and big data technologies (e.g. TensorFlow, Spark, Kafka).&nbsp; • &nbsp; &nbsp;Analytical, detail oriented problem solver with the ability to manage multiple projects in cross functional teams.&nbsp; • &nbsp; &nbsp;Clear communicator able to translate complex data insights for non technical stakeholders, with interest in Azure and emerging technologies.&nbsp;Share the same Value Based Behaviors:&nbsp;• &nbsp; &nbsp;People &amp; Personal growth&nbsp; • &nbsp; &nbsp;Results orientation &amp; Safety excellence&nbsp; • &nbsp; &nbsp;Collaboration &amp; Trust&nbsp; • &nbsp; &nbsp;Empathy &amp; Effective communication&nbsp; • &nbsp; &nbsp;Flexibility &amp; Adaptability Your Benefits:&nbsp;•&nbsp;&nbsp; &nbsp;Competitive remuneration package •&nbsp;&nbsp; &nbsp;Group Health Insurance program •&nbsp;&nbsp; &nbsp;Pension Plan&nbsp; •&nbsp;&nbsp; &nbsp;Collaborative and inclusive work environment that values diversity and innovation •&nbsp;&nbsp; &nbsp;Continuous learning and professional development opportunities &nbsp;

Advanced Analytics Engineer

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;Senior Data Software Engineer&nbsp;to guide the development of our forward-thinking supply-chain data analytics platform.This platform offers a comprehensive perspective of suppliers, products, material categories, shipments, and compliance activities, leveraging artificial intelligence to provide actionable insights and custom recommendations for our clients.If this role matches your career aspirations – apply today!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 using Databricks and external orchestrators like Airflow</li><li>Collaborate with machine learning teams to incorporate AI-driven insights into the platform</li><li>Implement system-level enhancements and components for efficient data engineering</li><li>Optimize data-focused platforms to enhance performance and scalability</li><li>Ensure compliance with software engineering best practices, including containerization, unit testing, linting, and code style adherence</li><li>Oversee and improve data workflows, Delta Lake, and Delta Live Tables within Databricks</li><li>Provide technical mentorship and support to data engineers on the team</li><li>Engage effectively with clients and stakeholders to align solutions with their needs</li><li>Navigate uncertainty and independently complete project deliverables</li></ul>Requirements<ul><li>Background in leading data engineering projects with the Databricks platform</li><li>Knowledge of data architectures and data modeling</li><li>Skills in designing and building ETL pipelines utilizing Databricks and external orchestrators (e.g., Airflow)</li><li>Proficiency in using Databricks (Delta Lake, workflows, Delta Live Tables, deployment, and versioning)</li><li>Expertise in Python with a focus on cloud-native technologies</li><li>Proficiency in Spark/PySpark</li><li>Background in engineering with either AWS or Azure</li><li>Skills in handling big data and optimizing performance in data-intensive environments</li><li>Strong initiative combined with experience interacting directly with clients</li><li>Adaptability to manage ambiguity and independently drive outcomes</li><li>Competency in operating within a fast-paced startup environment with transparency</li><li>Fluency in English at a B2 level</li></ul>Nice to have<ul><li>Familiarity with setting up or maintaining CI/CD pipelines on Azure DevOps</li><li>Understanding of Data Observability and approaches to Data Quality Monitoring</li><li>Background in integrating 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

Senior Data Software Engineer Remote

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.

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