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Angelicoussis Group, one of the world’s leading ship management organizations is looking for an experienced and motivated SAP MM Specialist.Key Responsibilities<ul><li>Provide specialized expertise in MM. Knowledge of SD is a strong advantage, while experience in other modules, such as EWM, is considered an asset.</li><li>Support the implementation of SAP MM modules, ensuring integration with other SAP modules.</li><li>Gain and maintain a broad understanding of the SAP ecosystem, supporting multiple modules in day-to-day operations.</li><li>Gather and analyze business requirements, collaborate closely with business departments to identify needs, recommend process improvements within SAP, design, deploy, deliver and support high-quality solutions.</li><li>Customize the SAP MM modules to meet specific business needs and oversee related development activities.</li><li>Manage user requests and incidents, providing prompt troubleshooting and resolution of SAP-related issues.</li><li>Organize and deliver training sessions for end users to ensure effective utilization of the system and maximize system adoption.</li><li>Actively participate in SAP-related projects, coordinating with stakeholders to ensure project milestones and deliverables are met.</li></ul>Candidate must have<ul><li>Bachelor’s degree in Computer Science, IT, or related field (Master’s/SAP certifications a plus), with proficiency in Greek &amp; English.</li><li>5+ years’ SAP MM and S/4HANA experience, including implementation, configuration, support, and full project lifecycle.</li><li>Strong knowledge of Procurement &amp; Inventory Management processes (purchase requisitions, purchase orders, goods receipt, invoice verification, stock transfers, consignment, subcontracting).</li><li>Deep knowledge of MM and integration with other SAP modules (SD, EWM, FI/CO), and hands-on with S/4HANA innovations (Fiori apps, Business Partner, Material Ledger).</li><li>Solid understanding of SAP Authorization concepts (MM related) and interface technologies (IDocs, RFCs, Web Services, PI/CPI).</li><li>Proven track record in applying SAP best practices and methodologies within cross-functional teams to deliver successful projects and overall system functionality.</li><li>Proactive and autonomous with strong analytical and problem-solving ability.</li><li>Team-oriented collaborator with excellent communication skills, able to simplify complex concepts.</li><li>Quick to diagnose issues, propose solutions, and dive into technical details when required.</li><li>Resilient under pressure and able to manage stress effectively.</li></ul>The Company offers an attractive compensation and benefits package and a friendly working environment. All applications will be treated as strictly confidential.

SAP MM Specialist

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

We are looking for a Mid/Senior Full Stack Developer focused on modern front-end technologies to join our team in Thessaloniki. You will design and build sophisticated web applications using technologies like React, Angular, or Vue.js. This role involves developing AI-driven applications in collaboration with data scientists and AI specialists, integrating advanced tools to deliver intelligent solutions. Your Role and Responsibilities&nbsp;<ul><li>Develop and maintain responsive web applications using modern front-end frameworks.</li><li>Collaborate with backend engineers to integrate front-end components with server-side logic.</li><li>Design and implement efficient, scalable, and maintainable code using modern front-end frameworks and libraries.</li><li>Develop robust AI-driven applications in collaboration with data scientists and AI specialists.</li><li>Write clean, scalable, and maintainable code.</li><li>Participate in code reviews and contribute to a collaborative team environment.</li><li>Stay updated with the latest front-end trends and technologies.</li><li>Troubleshoot and debug issues across the full stack.</li><li>Work with cross-functional teams to define, design, and deliver new features.</li><li>Continuously discover, evaluate, and implement new technologies to maximize development efficiency.</li><li>Ensure high levels of application performance and user experience.</li></ul> Our Requirements<ul><li>Degree in Computer Science, Electrical &amp; Computer Engineering, or related fields preferred.</li><li>Proficiency in JavaScript, HTML5, and CSS3.</li><li>Experience with modern front-end frameworks (React, Angular, Vue.js).</li><li>Understanding of backend development with technologies like Python, Node.js, .NET, or Java.</li><li>Knowledge of RESTful APIs and asynchronous request handling.</li><li>Experience with version control systems, preferably Git.</li><li>Familiarity with containerization tools like Docker.</li><li>Ability to work well in a team and communicate effectively.</li><li>Focus on delivering reliable and maintainable solutions.</li></ul> Preferred skills<ul><li>Experience with TypeScript.</li><li>Familiarity with CI/CD pipelines.</li><li>Basic knowledge of database management (SQL/NoSQL).</li><li>Experience with cloud services, preferably Azure.</li><li>Previous experience in Agile/Scrum environments.</li><li>Knowledge of machine learning libraries and frameworks is a plus.</li><li>Examples of previous work or projects on GitHub or similar platforms.</li></ul> What we offerAt Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits.<ul><li>Modern hybrid workplace, characterized by flexibility and Smart Working</li><li>Empowered well-being: We provide multiple program offerings to support your well-being needs (flexible working arrangements, extra days of leave, parental allowances)</li><li>Engagement within international large-scale teams and projects, with opportunities to travel for training or client purposes.</li><li>Constant opportunities for learning with unlimited access to internal and external learning platforms and sponsored certificates aligned with business needs and technology trends</li><li>Challenging and innovating environment where personal development and growth are encouraged, always with transparency and trust</li><li>Diverse culture and active communities that enable you to bring yourself to work</li><li>Team Building and Corporate Social Responsibility Activities</li><li>Private medical health insurance plan</li><li>Ticket restaurant card</li><li>Exclusive Discounts to several retail providers, restaurants and others</li><li>Mobile phone</li><li>Fresh fruits and unlimited coffee every day at our offices</li></ul> About Deloitte Greece Tax &amp; Legal Technology: Deloitte Greece Tax &amp; Legal Technology team leverages AI to revolutionize the tax and legal industries by creating intelligent software solutions. Our goal is to enhance operational efficiency, improve user experiences, and unlock new opportunities. Our dynamic and innovative team works on projects in Greece and across the Deloitte Central Mediterranean (DCM) region, including Italy and Malta. Why DeloitteAt Deloitte, we create positively differentiated work experiences that enable our people to feel valued and achieve their full potential. We value difference and embrace people with diverse backgrounds and thinking styles. About DeloitteOur servicesDeloitte offers Global professional services that include Audit, Risk Advisory, Tax, Consulting and Financial Advisory. Our approach combines insight and innovation from multiple disciplines with global business and industry expertise to help our clients excel anywhere in the world.We deliver outstanding impact on the reputation and success of our clients, in Greece and globally. In pursuing this we contribute to a sustainable and prosperous society and are firm believers in the positive impact business can and should have on the world it operates within. 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 are at the center of our unique talent experience. We create a workplace that encourages collaboration, creativity, and 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.&nbsp;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 one of the Deloitte Central Mediterranean S.r.l. (“DCM”) countries. DCM, a company limited by guarantee registered in Italy with registered number 09599600963 and its registered office at Via Tortona no. 25, 20144, 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, financial advisory, risk advisory, 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 411,000 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.© 2024 For more information contact Deloitte Central Mediterranean

Mid/Senior Full Stack Developer with Modern Front-End Focus - Tax & Legal

As part of the Help Desk Team the IT Support Specialist will work in a complex and demanding environment with over 1000+ users and more than 80 remote locations where systems and network stability is our everyday target.&nbsp;Job duties:&nbsp;<ul><li>Users Support in Headquarters and our remote locations by resolving requests from our ticketing system</li><li>Properly escalating unresolved inquiries to the next level of onsite support or creating tickets to integrators</li><li>Troubleshooting hardware and software issues of corporate PCs and laptops.</li></ul>&nbsp;The successful candidate should have:<ul><li>BSc degree in Information Technology or related field</li><li>At least 2years of proven experience in a similar role</li><li>Good knowledge and understanding of Microsoft Active Directory and services (DNS – DHCP)</li><li>Experience in Antivirus and Antispam Software</li><li>Experience on O365</li><li>Having experience on IP Telephony</li><li>Understanding basic principles of networking</li><li>Being able to understand DSL and telephony issues in order to communicate them to vendors</li><li>Very good communication skills and team player.</li></ul>&nbsp;The Company offers:<ul><li>Competitive remuneration package &amp; extra benefits</li><li>Dynamic, prestigious and highly distinguished working environment (Best workplace award in Greece for 10 years)</li><li>Supportive management</li><li>Among top industries in international market trends</li><li>Multiple learning &amp; career opportunities.</li></ul>ΑΙΤΗΣΗ ΕΡΓΑΣΙΑΣ

IT Support Engineer

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 looking for a highly skilled Senior Machine Learning Engineer to design and implement machine learning models and systems that address complex challenges and drive meaningful business outcomes. You will play a critical role in extracting insights from data, building advanced pipelines, and leveraging generative AI to develop impactful solutions. This position combines technical proficiency, innovative thinking, and collaboration to deliver scalable results aligned with organizational goals.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 implement machine learning solutions tailored to domain-specific business needs</li><li>Leverage data science techniques, classical machine learning methods, and generative AI to extract actionable insights</li><li>Build, deploy, and optimize ML pipelines, addressing feature generation, model evaluation, retraining, and automation</li><li>Interpret analytical results and model outputs, translating them into clear, actionable strategies for stakeholders</li><li>Collaborate with teams across the organization to gather requirements and deliver impactful machine learning solutions</li><li>Research and integrate emerging ML and AI technologies to improve processes and systems</li><li>Document workflows, algorithms, and findings to support reproducibility and knowledge sharing</li></ul>Requirements<ul><li>3+ years of hands-on experience applying data science and machine learning techniques to solve real-world problems</li><li>Strong ability to define business problems and design ML-driven solutions with an analytical focus</li><li>Expertise in Python and SQL, with proficiency in frameworks such as Scikit-learn, Pandas, and PyTorch</li><li>Solid understanding of statistical methods, machine learning algorithms, and advanced techniques like deep learning or LLMs (Large Language Models)</li><li>Experience applying statistical concepts such as regressions, A/B tests, clustering, and probability to business challenges</li><li>Skills in storytelling through data visualization tools like Tableau, R-Shiny, Streamlit, or Looker</li><li>Excellent communication skills, with the ability to present technical concepts to both technical and non-technical audiences</li><li>Proven problem-solving skills with the ability to independently manage and take ownership of projects</li><li>Collaborative mindset with experience working in cross-functional teams to align objectives and deliver results</li><li>Excellent command of written and spoken English (B2+ level)</li></ul>Nice to have<ul><li>Master’s or PhD degree in Computer Science, AI, Machine Learning, or a related field</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 Machine Learning Engineer Remote

We are seeking a skilled and detail-oriented&nbsp;ServiceNow Developer&nbsp;to join our IT Service Management team. You will be responsible for the design, development, configuration, and customization of the ServiceNow platform to support business requirements and digital transformation initiatives. The ideal candidate will have hands-on experience with various ServiceNow modules and a solid understanding of ITIL processes.Key Responsibilities:<ul><li>Design, develop, and implement ServiceNow applications and integrations.</li><li>Customize ServiceNow applications and facilitate the rollout of new applications and modules.</li><li>Work with stakeholders to gather requirements and translate them into technical solutions.</li><li>Create and maintain technical documentation, including design specifications, test plans, and user manuals.</li><li>Collaborate with cross-functional teams to ensure platform scalability and performance.</li><li>Perform regular system maintenance, updates, and patches.</li><li>Develop workflows, business rules, client scripts, UI policies, and other ServiceNow components.</li><li>Integrate ServiceNow with other systems via REST/SOAP APIs.</li><li>Troubleshoot and resolve issues related to the ServiceNow platform.</li></ul>Required Qualifications:<ul><li>Bachelor's degree in Computer Science, Information Technology, or related field.</li><li>2–5+ years of hands-on experience with ServiceNow development.</li><li>Strong understanding of ServiceNow modules: Incident, Problem, Change, CMDB, Service Catalog, and Knowledge Management.</li><li>Experience with scripting languages such as JavaScript and Glide.</li><li>Familiarity with ITIL best practices.</li><li>Experience with ServiceNow integrations (REST, SOAP, MID Server).</li><li>ServiceNow Certified System Administrator (CSA) or higher certification (preferred).</li></ul>Preferred Qualifications:<ul><li>Experience with Scoped Applications and Flow Designer.</li><li>Knowledge of Agile/Scrum methodologies.</li><li>Experience with Performance Analytics, Virtual Agent, or HRSD is a plus.</li><li>ServiceNow Developer or Implementation Specialist certifications.</li></ul>Soft Skills:<ul><li>Excellent problem-solving and analytical skills.</li><li>Strong verbal and written communication.</li><li>Ability to work independently and in a team-oriented, collaborative environment.</li><li>Detail-oriented with a focus on delivering high-quality work.</li></ul>

SERVICE NOW CONSULTANT

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

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

Team Lead ML Engineer

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

AB Vassilopoulos: A world of opportunities awaits youAt AB Vassilopoulos, we are more than 12,000 people sharing the same purpose: to give our best every day and make a difference in people’s lives. With a presence across Greece - from stores and offices to distribution centers and our Home Shop Center with more than 500 Job roles - we offer countless opportunities for growth, in an environment that respects and supports every team member. As part of the global Ahold Delhaize group and one of the most dynamic brands in Greece, we are proud to consistently be recognized as a Top Employer.&nbsp;Become part of the #proudABers team!The opportunity&nbsp;We are seeking a dynamic and experienced IT Product Owner to lead the Core Retail and Forecast &amp; Replenishment (F&amp;R) domain within our organization. In this role, you will be responsible for driving the evolution and optimization of retail business processes supported by SAP Retail, our primary ERP platform.You will work closely with business stakeholders and cross-functional IT teams to manage demand across areas such as Retail Finance, Order Management, Inventory Management, and Forecast &amp; Replenishment. The role requires strong SAP process understanding, product ownership capabilities, and the ability to translate business needs into scalable system solutions.As a Product Owner, you will manage the product backlog, define requirements, and ensure that solutions deliver measurable business value while supporting the organization’s digital transformation initiatives.What you will focus on<ul><li>Product Vision &amp; Strategy: Support the development and communication of a clear product vision and roadmap for the Core Retail and Forecast &amp; Replenishment domain. Contribute to the planning, optimization, and continuous improvement of core retail processes supported by SAP Retail.&nbsp; Align product priorities with organizational goals and business needs.</li><li>Requirements Management: Collaborate closely with business stakeholders, SAP experts, and IT teams to gather, analyze, and prioritize business requirements. Translate business requirements into user stories, functional specifications, and acceptance criteria.&nbsp; Ensure that requirements are clearly understood by development and functional teams.</li><li>Product Backlog Ownership: Manage and prioritize the product backlog, ensuring it contains well-defined user stories, features, and technical tasks. Define clear acceptance criteria and ensure alignment with business objectives. Work closely with your manager and key stakeholders to ensure that the roadmap reflects evolving business priorities.</li><li>Cross-functional Collaboration: Work closely with SAP specialists, developers, business analysts, and other IT teams to support the successful delivery of product features. Facilitate communication between technical teams and business stakeholders to ensure alignment throughout the development lifecycle.</li><li>Continuous Improvement: Identify opportunities to improve processes and systems within the Core Retail and F&amp;R landscape. Support the implementation of enhancements that improve operational efficiency, forecasting accuracy, and inventory optimization. Stay informed about retail industry trends, SAP capabilities, and best practices to support continuous innovation.</li><li>Lead training sessions for end users and other IT stakeholders</li><li>Analyze preferences and requests of end users.</li><li>Follow applicable Standards, Procedures, Guidelines and Methodologies in the implementation and/or maintenance of the SAP ECC6 platform</li></ul>Who we are looking for<ul><li>3+ years of relevant IT experience, experience in the retail industry would be considered a plus.</li><li>Solid understanding of SAP Retail business processes, particularly in core retail and supply chain areas.</li><li>Experience working in complex IT landscapes and large organizations.</li><li>Very good working knowledge of SAP business processes associated with core Retail and Forecast &amp; Replenishment. Knowledge of SAP SD, SAP MM and SAP FI</li><li>Experience with SAP F&amp;R will be considered an asset.</li><li>Proficiency in Agile Methodologies (SAFe) and hands on experience in agile tools (Atlassian)</li><li>Excellent command of the English language both written &amp; spoken.</li><li>Ability to travel (Europe) up to 10% depending on the nature and the duration of the assigned projects/work.</li></ul>The value you bring<ul><li>Analytical Thinking | Ability to process complex information with a critical, solution‑driven mindset</li><li>Problem Solving | Be on top and define problems, develop and implement effective solutions</li><li>Effective Collaboration | Understand team dynamics that embrace healthy work climate</li><li>Structured Work Approach | Organization, consistency, and strong attention to detail across all stages of work</li><li>Accuracy | Systematic and methodical execution of tasks with a high standard of quality</li></ul>We care for you&nbsp;<ul><li>Competitive remuneration package</li><li>A buddy to support you during onboarding</li><li>Free lunch meals in our restaurant</li><li>Unlimited access to LinkedIn Learning programs</li><li>Health insurance</li><li>Available parking</li><li>Hybrid way of working</li><li>Wellbeing Program</li></ul>A place where everyone belongsAll our candidates and employees are treated with respect and equality, regardless of race, color, religion, gender, sexual orientation, national origin, disability, or any other characteristic protected by law.As part of our commitment to inclusion and equality, we have signed the Diversity Charter Greece , we are certified with the SHARE Equality Label and we are members of LEAD Network, recognizing our tangible actions toward a truly inclusive work environment.*All applications are treated with utmost confidentiality

IT Product Owner

SingularLogic, a Space Hellas Group member, is a leading Enterprise Software and Digital Integrated Solutions and Services provider for large enterprises and organizations of the Private and Public sectors.We are working closely with our clients to develop secure, innovative technology for innovative business models, so that they can grow and be competitive in an interconnected world. SingularLogic has created and fostered a culture of excellence for customer care and software development and we invite you to be part of this winning team. The Opportunity &nbsp;We are looking for a motivated PHP Developer to join our agile team of professionals. If you are passionate about technology, constantly seeking to learn and improve skill set, then you are the type of person we are looking for!Responsibilities<ul><li>Write well-designed code</li><li>Produce detailed specifications</li><li>Interface with internal teams to gather requirements and develop software solutions</li><li>Troubleshoot, test and maintain the core product software and databases to ensure strong feature quality</li><li>Contribute in all phases of the development lifecycle</li></ul>Requirements<ul><li>Full-stack developer with at least 3 years of working experience</li><li>Previous working experience as a PHP developer for 2 years</li><li>Experience in HTML5, CSS3, jQuery and JavaScript.</li><li>Familiarity with SOLID principles and software design patterns</li><li>Experience in Open Source E-shop&nbsp;or CMS platforms</li><li>Experience consuming and developing REST APIs</li><li>Hands on experience with SQL schema design</li><li>Creative and efficient problem solver</li><li>Keen to learn new technologies</li></ul>Nice to have<ul><li>Knowledge of at least one javascript framework/library (Angular, React, Vue.js)</li><li>Familiarity with LAMP environments</li></ul>We offer<ul><li>Attractive remuneration package</li><li>Training&nbsp;</li><li>Friendly working environment</li><li>Work/life balance</li><li>Opportunity to develop your career and skills by joining complex and large projects</li><li>Private insurance</li></ul>&nbsp;&nbsp;&nbsp;

PHP Developer

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

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

As a Software Engineer in Test, you will utilize your experience and technical expertise to make your mark in our software development’s life cycle. Relish the chance to create an impact in this key role where you will liaise with talented engineers and business experts. Your understanding of the testing life-cycle will see you liaise seamlessly with a broad cross-section of colleagues, product owners and stakeholders, and provide a vote of confidence regarding the quality of the product.<ul><li>Review user stories and acceptance criteria in order to develop effective test plans and both manual and automated tests cases in collaboration with the development team</li><li>Participate actively in scrum ceremonies in order to distribute test cases according to the test pyramid</li><li>Estimate, prioritize, plan and coordinate testing activities</li><li>Responsible for the STLC of new features on testing suites, taking technical ownership to ensure timely and quality delivery</li><li>Researching test tools, methodologies, and trends and upgrading existing practices and processes.</li></ul>What you will bringWe are looking for a Software Engineer in Test who is a team player with a can-do attitude and excellent communication skills.<ul><li>BS/MS degree in Computer Science/Software Engineering or an IT related discipline</li><li>3+ years of experience as a Software Development Engineer in Test</li><li>Hands on experience in OOP languages (C# preferable)</li><li>Strong knowledge of software QA methodologies, tools and processes</li><li>Hands-on experience with web browser automation tools (e.g. Selenium / Playwright)</li><li>Good understanding of all levels of the testing pyramid</li><li>Experience in defect tracking and test management tools such as JIRA, X-Ray etc</li><li>Familiarity with relational database engines (SQL)</li><li>Experience working with Agile/Scrum software development methodology</li><li>Experience working closely with product teams to understand requirements and verify/validate they are met</li><li>Passion for continuous learning and self-development</li><li>Fluent communication skills in English (both written &amp; verbal)</li></ul>Let’s talk about us<ul><li>Hybrid working model</li><li>A competitive salary</li><li>Brand new equipment</li><li>Exciting &amp; friendly work environment</li><li>Career &amp; competencies’ development</li><li>Continuous learning &amp; development experience based on infinity model through Code.Hub’s Code.Learn</li><li>L&amp;D plan for your career improvement</li><li>A truly open, inclusive, and competitive-free environment to grow your skills and have fun!</li><li>Internal competitions &amp; rewards.</li></ul>Let’s talk about Code.Hub-ers<ul><li>You are eligible to have free pass to all training Code. Learn activities.</li><li>Training &amp; Tech Mentor for your induction.</li><li>Sponsoring of a Bachelor and/or Master’s Degree from Athens Tech College.</li><li>Private Health Insurance.</li><li>Performance planning each six months and each two years planning of promotion.</li><li>Free Lunch/Snack every day &amp; Cocktail Fridays @ our offices.</li><li>Referral Bonus.</li></ul>

Software Engineer In Test

As a Senior Database Administrator (DBA), you will be leading the&nbsp; database management strategies, ensuring exceptional levels of performance and security. Your focus will be on providing technical direction and spearheading the development of advanced solutions.&nbsp;Your Responsibilities:<ul><li>Guiding the Way: Utilize your expertise to guide our team towards effective database management strategies that align with our company's goals and values.</li><li>Managing Databases: Take charge of installing, configuring, and maintaining complex database systems in various environments, ensuring they run smoothly whether they're On-Premises, in the Cloud, or Hybrid.</li><li>Boosting Performance: Lead efforts to optimize performance by fine-tuning operations, improving queries, and ensuring our database operations can scale effectively.</li><li>Ensuring Security and Compliance: Uphold strong security measures to protect our data and ensure compliance with regulatory standards like GDPR and the esteemed WLA Responsible Gaming Framework Certification.</li><li>Supporting and Mentoring: Take on the role of mentor for the team members, offering guidance, sharing your technical knowledge, and nurturing an environment of ongoing learning and growth.</li><li>Collaborating with Stakeholders: Work closely with teams across the organization, such as Software Development, Infrastructure, and Quality Assurance, to achieve impactful business outcomes through seamless collaboration.</li></ul>Job requirementsYour Qualifications:<ul><li>Extensive Experience: Bring at least six (6) years of hands-on experience in database administration, with a focus on enterprise-level deployments and mission-critical systems.</li><li>Specialization: Mastery in MySQL or Oracle RDBMS, complemented by desirable proficiency in other databases including PostgreSQL, MongoDB, MS SQL Server, and more</li><li>&nbsp;Cloud Experience: Familiarity with Azure and AWS database ecosystems, including managed services (e.g., RDS, Azure SQL), and an understanding of how to design for scalability, resilience, and performance in cloud and hybrid setups</li><li>Influence Opportunity: Demonstrate leadership prowess, spearheading technical projects, mentoring team members, and influencing strategic direction.</li><li>Automation Mindset: Fluent in scripting and automation tools (e.g., Bash, Python, Ansible), committed to championing Infrastructure as Code (IaC) principles.</li><li>Stellar Communication: Convey complex technical concepts to diverse stakeholders with clarity and confidence.</li><li>Lifelong Learning: Embrace a passion for continuous learning and growth, staying abreast of emerging technologies and industry best practices.</li></ul>Why Join Us:💸 A competitive compensation package combined with additional benefits.💻 Hybrid working model.🏥 Private Insurance for you and your family.🏢 Modern facilities, parking inside, enticing restaurant and corporate bus.📚 An extensive training program upon induction and throughout employment.🚀 Exceptional opportunities to learn and develop in a multinational environment.🌎 Prospects for professional growth both locally and globally.

Senior Database Administrator

Epsilon Net, the largest Group of Business Software in Greece with&nbsp; a full portfolio of specialized services and software solutions,&nbsp; offers you:Career Growth –&nbsp;Join a team where you can develop, learn, and evolve.Supportive Culture&nbsp;– Thrive in an environment that fosters teamwork, knowledge-sharing, and excellence.Top Clients &amp; Technology –&nbsp;Work with the best professionals in the development sector and cutting-edge toolsAs a Sennior&nbsp;Software Developer:📌Your mission:<ul><li>Design and development of new software products and components.</li><li>Build and maintain efficient and reliable code</li><li>Provide solutions in technical problems</li><li>Deliver work that concisely addresses outlined requirements within appropriate timeframes</li><li>Upgrade specific information flow using new technologies and architecture</li></ul>📚What You Need<ul><li>BSc degree in Computer Science, Engineering or related field.</li><li>More than 5 years of experience in C# and ASP.NET Core</li><li>Strong SQL Knowledge</li><li>Experience with development of web services (Web API, RESTFul)</li><li>Strong analytical and problem-solving skills</li><li>Excellent command of the English language (written and verbal)</li><li>Passion for programming and IT technologies</li><li>Ability to learn new technologies &amp; methodologies</li><li>Ability to work as part of a team</li><li>Attention to detail</li></ul>🌟Bonus points if you have:<ul><li>Experience with Blazor.</li></ul>What We Offer💰 Competitive salary &amp; benefits package.📚 Ongoing training &amp; career development (Epsilon Training &amp; Epsilon College).🩺 Private medical insurance &amp; psychological support services.💻 Fully remote working model.🏆 Multi-awarded workplace (Fortune’s 100 Best Companies to Work For in Europe 2024, Best Workplace in Technology, Best Workplaces for Women).el.

Senior. NET Software Engineer

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

We are looking for a Senior SAPUI5/BTP Developer to join our team, focusing on the Global Adoption Experience Framework. This position involves close collaboration with client engineers to deliver high-quality solutions.You will work in a collaborative environment that applies the Scaled Agile Framework to support flexibility and continuous improvement. The role includes active participation in client workshops and regular teamwork sessions to align project objectives and improve communication. Join us to contribute to impactful SAP projects and develop your expertise in a supportive and innovative setting.This position offers a hybrid setup with the flexibility to work from any location in Cyprus, whether it's your home or our office in Nicosia.Responsibilities<ul><li>Participate in frontend development with UI5 Freestyle or Fiori Elements</li><li>Develop new frontend components for real-time interaction with specific Cloud functionality</li><li>Integrate BTP applications with SAP and non-SAP systems using services such as OData, REST and SOAP</li><li>Assist in design and development of SAP Customer Portal applications</li><li>Collaborate with business analysts and stakeholders to translate business requirements into technical solutions and design scalable architecture</li><li>Optimize application performance, conduct code reviews and ensure high-quality, responsive and secure code</li><li>Provide technical expertise, lead development efforts and mentor junior developers</li><li>Participate in agile development processes, manage project activities and assist in resolving production incidents</li><li>Create and maintain technical documentation including system configurations, installation procedures and guidelines</li></ul>Requirements<ul><li>4+ years experience in SAPUI5 development</li><li>Proficiency in SAPUI5, Fiori, JavaScript, HTML5 and CSS</li><li>Experience with SAP BTP and its services such as Cloud Application Programming Model (CAP)</li><li>Knowledge of integration technologies including OData, REST and SOAP</li><li>Familiarity with backend programming languages such as Java or ABAP</li><li>Background in SAP HANA and SQL is often required</li><li>Strong problem-solving, analytical and communication skills</li><li>Experience in agile development environments</li><li>Excellent English communication skills at B2 level or higher</li></ul>We offer<ul><li>Private healthcare insurance</li><li>Global travel medical and accident insurance</li><li>Regular performance assessments</li><li>Referral bonuses</li><li>Family friendly initiatives</li><li>Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more</li><li>*All benefits and perks are subject to certain eligibility requirements</li></ul>

Senior SAPUI5/BTP Developer (relocation to Cyprus)

On behalf of our international client, a company with 30 years of experience and around 300 employees, specializing in innovative SAP solutions on a global scale, we are looking for a Senior SAP SD Consultant to join their Greek branch. The role offers the flexibility to be based in Thessaloniki or work remotely.Responsibilities:<ul><li>Provide expert-level support and consulting for the SAP SD module</li><li>Diagnose, troubleshoot and resolve SAP SD-related issues</li><li>Work closely with business users to understand their needs and deliver effective solutions through system customization</li><li>Manage and resolve timely support tickets efficiently through company’s ticketing system</li><li>Lead end-user training</li></ul>&nbsp;Candidate Profile:<ul><li>Degree in Computer Science, Information Technology, or a related field.</li><li>At least four years of experience in SAP SD consulting position</li><li>Fluency in both Greek and English</li><li>Expertise in SAP SD configuration and customization</li><li>Knowledge in Backend Development, PP, or EWM is a big plus</li><li>Strong communication and teamwork skills to collaborate effectively with teams and clients</li><li>Ability to work independently and collaborate effectively</li><li>Eagerness to learn and continuously develop expertise</li></ul>&nbsp;What the Employer Offers:<ul><li>Unlimited contract</li><li>Private health insurance</li><li>Prepaid card for food</li><li>An International and modern working environment</li><li>Continuous learning and development opportunities</li></ul>

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