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The&nbsp;Solution Designer&nbsp;will be joining the software development team of Risk Management Domain of Alpha Bank IT Digital Services &amp; Data Analytics Division. You will be responsible for designing and overseeing the implementation of software solutions that meet the business requirements in areas such as Risk Management, Capital Management, MIS, ALM etc.&nbsp;You will work closely with cross functional IT teams and stakeholders to define architecture, guide development teams &amp; vendors, and ensure the successful delivery of projects. What you will be doing&nbsp;<ul><li>Collaborate with cross functional teams to understand their business objectives and technical requirements.</li><li>Understand and review the business and application requirements and define the solution requirements, ensuring they are consistent with the Bank’s IT strategy and practices.</li><li>Create High-Level technical solution design and produce relevant documentation.</li><li>Coordinate and consolidate High-Level Estimations, based on the high-level business requirements.</li><li>Participate in projects estimation and planning, providing technical input and helping the team set realistic goals and timelines.</li><li>Collaborate with Project Manager to create project milestone planning.</li><li>Cooperate with software engineers, data engineers, system engineers, and business analysts to implement effective and efficient software or data management solutions applying DevOps methods and iterative delivery.</li><li>Assess the impact of changes and enhancements on the existing architecture.</li><li> </li></ul> What you need to have&nbsp;<ul><li>BSc in Computer Science, Information Systems, Engineering, or any other related discipline.</li><li>Understanding of software engineering principles and best practices for building modular and maintainable systems.</li><li>Experience in designing scalable and resilient systems that meet performance, security, and reliability requirements.</li><li>Experience in DevOps and Agile methods and practices, familiarity with data modelling techniques, database design, optimization, and query tuning.</li><li>Familiarity with one or more RDBMS like Microsoft SQL Server, Oracle, PostgreSQL.</li><li>Familiarity with architectural patterns like SOA (Service-Oriented Architecture), microservices design patterns, message brokers (e.g., Apache Kafka) and integration frameworks (e.g., Apache Camel).</li><li>Prior experience in a banking environment will be considered an asset.</li></ul>What we offer&nbsp;It’s all about our people. At Alpha Bank, you will enjoy:&nbsp;<ul><li>A friendly and collaborative working environment that supports taking initiative and action.</li><li>A culture that centers around learning and continuous development and encourages everyone to bring their best self to work.</li><li>The opportunity to challenge your thinking through your participation in complex tasks and transformation projects.</li><li>Being part of a large organization with a leading role in the Greek economy and a strong presence in the community.</li><li>Flexible working options.</li><li>A competitive salary and benefits.</li></ul>&nbsp;All applications will be acknowledged and treated in utmost confidence.

Solution Architect

We are looking for a Technical Lead / Senior Software Engineer who combines strong hands-on engineering skills with a growing ability to lead technical delivery across projects. In this role, you will act as the Technical owner and Lead Developer of a project or major feature, driving design decisions, coordinating across teams (Frontend, Backend, AI &amp; Data), and ensuring high-quality delivery.You will work closely with our Solutions Architects, PMs and Business Analysts contributing to the implementation of scalable, cloud-native systems — including modern AI-enabled solutions (LLMs, RAG, integrations). This is not a pure coding role — it is a step into technical leadership, with strong growth potential toward Architect or Engineering Lead positions. The key responsibilities of this role will include:Technical Ownership &amp; Delivery<ul><li>Own end-to-end technical delivery of a project or feature</li><li>Coordinate implementation across teams (FE, BE, AI)</li><li>Ensure integration and delivery quality</li></ul>Solution Design &amp; Architecture<ul><li>Design and implement microservices-based architectures using Spring Boot</li><li>Contribute to event-driven systems and integrations (Kafka, messaging, APIs)</li><li>Define and review data models across relational (Postgres, MySQL) and NoSQL databases</li><li>Collaborate with Architects to align with target architecture and best practices</li></ul>AI-enabled Systems<ul><li>Support integration of AI/ML components</li><li>Work with LLM-based systems (RAG, APIs)</li><li>Collaborate with AI specialists</li></ul>Collaboration &amp; Communication<ul><li>Act as main technical contact within project</li><li>Participate in client discussions</li><li>Communicate risks and decisions clearly</li></ul>Leadership &amp; Mentoring<ul><li>Guide junior and mid-level engineers</li><li>Lead code reviews and design discussions</li></ul>To be successful at this role you need the following (hard and soft skills):<ul><li>5–8+ years of experience in Software engineering (Java ecosystem)</li><li>Strong hands-on experience with Spring/Spring Boot, Microservices architecture and REST APIs</li><li>Solid understanding of Relational databases (Postgres, MySQL)</li><li>Experience with Event-driven architectures and messaging systems (e.g., Kafka, RabbitMQ)</li><li>Familiarity with Cloud environments (Azure preferred), Docker and Kubernetes</li><li>Strong problem-solving skills and ownership mindset</li><li>Demonstrated ability to take ownership of features or projects</li><li>Strong communication skills (team and stakeholder level)</li><li>Ability to coordinate across multiple teams</li><li>Proactive attitude, identify problems and drive solutions</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>

Technical Lead / Senior Software Engineer (Java, Cloud & AI-enabled Solutions)

We are looking for an experienced Senior Cloud Software Engineer to strengthen and further enhance our Application Development team.&nbsp; The ideal candidate is a strong software engineer with deep experience in modern web development, cloud-native application architecture, and backend development. The role combines hands-on technical leadership, solution design and team coordination within enterprise-scale projects.Candidates with experience in modern cloud platforms and enterprise web application development are encouraged to apply.&nbsp;Key Responsibilities&nbsp;Application Development &amp;&nbsp;Technical Leadership<ul><li>Design and implement cloud-native applications.</li><li>Promote and enforce coding standards, development guidelines, and architectural best practices.</li><li>Design and implement data models and database interactions using SQL.</li><li>Build modern web user interfaces and enterprise applications.</li><li>Ensure applications follow secure and scalable cloud architecture principles.</li><li>Implement application logic using modern programming languages and frameworks, including JavaScript and Node.js.</li><li>Develop scalable backend services and APIs for enterprise applications.</li><li>Understanding of modern AI capabilities and their practical application in software engineering, including incorporating AI-powered features into applications and effectively leveraging AI-assisted development tools to improve development productivity.</li></ul>&nbsp;Cloud &amp; DevOps<ul><li>Design and implement solutions in cloud environments.</li><li>Contribute to CI/CD pipelines, automated deployment, and DevOps practices.</li></ul>&nbsp;Team &amp; Project&nbsp;Management<ul><li>Provide technical mentorship and guidance to developers.</li><li>Participate in architecture decisions and solution design.</li><li>Collaborate with integration, automation, and AI teams to deliver end-to-end solutions.</li><li>Support project planning, estimations, and technical roadmap definition.</li></ul>&nbsp;Qualifications&nbsp;Technical Skills<ul><li>Strong understanding of software engineering principles and backend development</li><li>Solid knowledge of SQL and database design</li><li>Strong programming experience with JavaScript and Node.js</li><li>Experience developing applications in cloud environments</li><li>Experience with microservices architectures</li><li>Understanding of CI/CD processes and DevOps practices</li><li>Understanding of modern AI capabilities and ability to leverage AI-assisted development tools to enhance software development productivity and code quality</li></ul>&nbsp;Professional Experience<ul><li>5+ years of professional experience in software engineering</li><li>Experience contributing to team development through knowledge sharing, mentoring, and promotion of engineering best practices.</li><li>Experience working on enterprise-scale software projects</li></ul>&nbsp;Soft Skills<ul><li>Strong analytical and problem-solving skills</li><li>Ability to lead technical discussions and architecture decisions</li><li>Excellent communication and collaboration skills</li><li>Ability to work in cross-functional teams</li><li>Strong ownership and accountability mindset</li></ul>&nbsp;Preferred Qualifications (Nice to Have)<ul><li>Experience with SAP BTP and SAP Programming frameworks (CAP, Fiori/SAPUI5)</li><li>Familiarity with enterprise integration patterns</li></ul>

SENIOR CLOUD SOFTWARE ENGINEER

We are looking for a new BI and Reporting Engineer to join our team and help shape the future of gaming! As BI &amp; Reporting Engineer at INTRALOT, you’ll contribute to the design and delivery of robust, business-critical reporting solutions that support operational efficiency and data-driven decision-making across our global teams. What you'll do:<ul><li>Create and maintain optimal data pipeline for optimal extraction, transformation, and loading of data from a wide variety of data sources</li><li>Assemble large, complex data sets that meet functional / non-functional business requirements</li><li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li><li>Build operational and non-operational reporting using SQL that meets the business needs.</li></ul>&nbsp;What we’re looking for:<ul><li>Holding University or College Degree in Computer Science, Software Engineering or relevant technology-related field</li><li>Having &nbsp;2+years of demonstrated professional experience in designing and developing automated reports</li><li>Relational databases, such as MySQL, MS SQL Server, etc.</li><li>Experience in design tools such as Jasper reports, Power BI, Tableau</li><li>Experience in Databricks will be considered a plus &nbsp;</li><li>Excellent command of written and verbal English / Greek languages</li></ul>&nbsp;&nbsp;&nbsp;Job requirementsTo thrive in this role, you should have:<ul><li>Holding University or College Degree in Computer Science, Software Engineering or relevant technology-related field</li><li>&nbsp; Having &nbsp;2+years of demonstrated professional experience in designing and developing automated reports</li><li>&nbsp; Relational databases, such as MySQL, MS SQL Server, etc.</li><li>&nbsp; Experience in design tools such as Jasper reports, Power BI, Tableau</li><li>&nbsp; Experience in Databricks will be considered a plus &nbsp;</li><li>Excellent command of written and verbal English / Greek languages</li></ul>&nbsp;About Us: INTRALOT, a publicly listed company established in 1992, is a leading gaming solutions supplier and operator active in 40 regulated jurisdictions worldwide. With a global workforce of approximately 1,700 employees, INTRALOT is committed to redefine innovation and quality of services in the lottery and gaming sector, while supporting operators in raising funds for good causes. In 2025, INTRALOT was distinguished as a top ten most attractive employer brands in Greece.INTRALOT has been awarded the prestigious WLA Responsible Gaming Framework Certification by the World Lottery Association. We always act with integrity and enjoy what we do.&nbsp;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.

BI and Reporting Engineer

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

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

Intellectica is recruiting a 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

Powering global sports betting platforms where performance and real-time data matter.Ready to make an impact?What You’ll DoAs a DevOps Engineer, you’ll play a vital role in enhancing operations and contributing to the delivery of high-quality software. Your contributions will make a difference as you:🚀 Support Scalable Systems – Contribute to the design and maintenance of secure, robust, and high-performance infrastructure for our global gaming platforms.⚙️ Drive Automation – Help implement and refine CI/CD pipelines using tools like Jenkins, GitHub Actions, or CircleCI.🌐 Manage the Cloud – Assist in maintaining cloud environments (AWS or Azure) to ensure efficiency and scalability.📦 Leverage Containers – Optimize and manage containerized applications using Docker and Kubernetes.📜 Support Infrastructure as Code (IaC) – Collaborate on infrastructure provisioning and configuration with tools like Terraform and Ansible.🔍 Monitor Effectively – Develop and maintain monitoring, logging, and alerting systems with Prometheus, Grafana, and ELK.🔗 Work with Data Streams – Help optimize real-time data flows and messaging systems with Kafka.🤝 Collaborate Across Teams – Work closely with software teams to promote a DevOps-first culture.Job requirementsWhat You’ll BringWe’re looking for an enthusiastic and driven individual with:🌟 Experience: 3+ years in a DevOps or related role.🐧 Linux Expertise: Excellent knowledge and hands-on experience with Linux systems.☁️ Cloud Knowledge: Hands-on experience with AWS or Azure.💻 Scripting Skills: Proficiency in scripting/programming languages like Python, Bash, or Go.🐳 Containerization: Familiarity with Docker and Kubernetes.⚡ IaC Basics: Experience with tools like Terraform and Ansible.🔄 CI/CD Enthusiasm: Exposure to CI/CD tools such as Jenkins, GitHub Actions, or Bamboo.🛠️ Monitoring Skills: Experience with monitoring and logging tools like Prometheus and Grafana.🌐 Communication: Strong collaboration and communication skills in both Greek and English.

DevOps Engineer (Sports Betting)

Our Client is expanding its AI &amp; Data division and is looking for an experienced Machine Learning Engineer to design, develop, and deploy advanced ML solutions that power automation and digital transformation initiatives.This role combines hands-on engineering with technical leadership, focusing on creating scalable, production-ready ML systems that support real-world business processes.Key Responsibilities<ul><li>Design, develop, and integrate machine learning models into production environments.</li><li>Build and maintain data pipelines and model training workflows to ensure reliable and automated processes.</li><li>Develop and enhance the company’s MLOps infrastructure for model lifecycle management, automation, and monitoring.</li><li>Write production-grade Python code and build APIs or services that expose ML models to business applications.</li><li>Continuously monitor, evaluate, and retrain models to maintain accuracy and performance.</li><li>Collaborate with data engineers, annotation teams, software developers, and product managers to align solutions with business objectives.</li><li>Participate in code reviews, documentation, and the definition of engineering best practices.</li></ul>Requirements<ul><li>Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related discipline.</li><li>3&nbsp; years of hands-on experience developing and deploying machine learning models.</li><li>Proven people management or team leadership experience.</li><li>Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Solid understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, Airflow).</li><li>Working knowledge of cloud platforms such as AWS, GCP, or Azure.</li><li>Excellent analytical thinking, problem-solving, and communication skills.</li><li>Fluent in English, both written and spoken.</li></ul>Nice to Have<ul><li>Experience with document understanding, OCR, or NLP models.</li><li>Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML pipelines.</li><li>Exposure to data governance, model monitoring, or AI observability tools.</li></ul>Why Join Them<ul><li>You’ll be part of a growing AI team within a well-established organization that is transforming its services through technology.</li><li>You’ll work on end-to-end ML systems, from data ingestion to deployment, with real business impact across automation and document intelligence domains.</li><li>If you’re passionate about building scalable ML products and want to see your models running in production, this is the right environment for you.</li></ul>

Mid ML Engineer

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

Senior ML Engineer

We are 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

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

Senior Data Engineer

Participates in digital transformation initiatives within manufacturing operations. Focuses on automation, system integration, and Industry 4.0 solutions, bridging IT and operational technology (OT) environments. The position requires a strong technical background, particularly in software development, to effectively manage complex manufacturing-related IT projects.Responsibilities:<ul><li>Designing, developing, and testing automation solutions within machinery and industrial environments</li><li>Identifying opportunities for process optimization through digital technologies</li><li>Supporting and contributing to Industry 4.0 initiatives, including smart factory concepts and data-driven manufacturing</li><li>Eliminating defects and errors within product and software development</li><li>Participating in and complying with quality and IT standards, cybersecurity requirements, and industrial best practices</li><li>Implementation and maintenance of custom software solutions, including machine-to-machine (M2M) integration</li><li>Collaborating with cross-functional teams to implement Manufacturing Execution Systems (MES)</li></ul>Qualifications:<ul><li>Bachelor’s degree in electrical engineering, software engineering, or a similar field</li><li>Advanced English skills (verbal and written communication)</li><li>Proficiency in maintaining automation systems and industrial IT/OT integrations</li><li>Understanding of robotics (ROS), AI, and machine learning</li><li>Advanced troubleshooting, multitasking, and analytical skills</li><li>Proficiency in a compiled programming language such as Python, C#, VBA, Java, or other selected languages</li><li>Familiarity with IoT, OPC UA, MQTT, or similar industrial communication protocols</li><li>Exposure to lean manufacturing or continuous improvement initiatives</li><li>Strong willingness to adapt and overcome challenging situations, and ability to keep up with the latest technologies</li></ul>

IT Project Manager

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

Senior Data Engineer Remote

We are the&nbsp;1st Hub for Developers!&nbsp;Our motto is&nbsp;“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&nbsp;with developers (only!) and tech (freak) experts! Our client is a member of HELLENiQ ENERGY and a leader in providing outstanding and innovative energy solutions. They operate with passion, being engaged in heart and mind to what they do, and they pride themselves on offering their employees a place where they can excel, creating value.We are currently looking for a Tech Lead who will provide hands-on technical leadership across our client’s Software Delivery projects. The role leads the design and development of applications built on .NET/C#, owns code quality and engineering standards, and mentors the engineering team. The Tech Lead coordinates technical requirements with the DevOps/Infrastructure team, drives the adoption of best practices across the SDLC, and acts as the primary technical decision-maker within project teams — while collaborating closely with the Section Manager on significant architectural decisions.What Will You Do:<ul><li>Lead the technical design of scalable and maintainable solutions, engaging with business and technical stakeholders to translate requirements into effective software architectures.</li><li>Oversee development and testing activities across the Software Delivery Lifecycle, ensuring seamless progression from design through deployment.</li><li>Own code quality assurance by leading code reviews, defining coding standards, and maintaining high engineering practices across the team.</li><li>Coordinate cross-functional delivery teams (engineers, QA, UX), providing technical leadership during project planning and implementation.</li><li>Build and maintain CI/CD pipelines within the development team, collaborating with the DevOps/Infrastructure team on templates, complex pipelines, and infrastructure-related deliverables.</li><li>Ensure solutions adhere to security best practices and information security principles throughout design, development, and deployment.</li><li>Mentor and coach Software Engineers on technical skills, design patterns, and engineering best practices.</li><li>Proactively identify technical delivery risks and either resolve them or escalate with recommended mitigation strategies.</li><li>Lead the evaluation and implementation of new technologies and proof-of-concepts (PoCs) to enhance the team’s capabilities.</li><li>Lead application performance monitoring, troubleshooting, and root cause analysis for significant incidents.</li><li>Stay informed about emerging technologies and trends, providing recommendations on technology adoption.</li></ul>What You Will Need in order to Succeed:<ul><li>A BSc in Computer Science, Information Technology, or a closely related field.</li><li>At least 7 years of experience in software engineering, with at least 2 of them in a tech lead or equivalent technical leadership role.</li><li>Expert-level proficiency in C# / .NET, including Web API, Entity Framework, and related ecosystem.</li><li>Strong SQL skills — schema design, query optimization, and data access patterns.</li><li>Solid experience in software architecture and design patterns (SOLID, Clean Architecture, DDD concepts).</li><li>Hands-on experience with React.js or similar modern front-end framework for full-stack delivery.</li><li>Deep working knowledge of Git — branching strategies, pull request workflows, and code review practices.</li><li>Hands-on experience with cloud architectures (Azure preferred).</li><li>Familiarity with DevOps and CI/CD practices, including building and maintaining pipelines.</li><li>Experience working with and leading teams in Agile/Scrum environments.</li><li>Proven ability to mentor engineers and raise the technical bar of a team.</li><li>Strong communication skills — ability to discuss technical topics clearly with both technical and non-technical audiences.</li><li>Excellent English speaking skills.</li></ul>Nice to Have:<ul><li>Microsoft Azure certifications (e.g., AZ-204 Azure Developer Associate, AZ-305 Azure Solutions Architect Expert).</li><li>Experience with RPA, LLM integration, or business process automation.</li><li>Exposure to the energy sector or regulated industries.</li></ul>Their offer to you:<ul><li>Competitive salary.</li><li>Performance-based variable pay.</li><li>Ticket restaurant card.</li><li>Transportation reimbursement.</li><li>Private Health Insurance coverage.</li><li>Pension Scheme.</li><li>Home electricity and natural gas discount.</li><li>Continuous learning &amp; upskilling opportunities and access to their premium online training platform.</li><li>Reimbursement for your athletic activities.</li><li>Unlimited fruits and snacks at the office.</li></ul>

Tech Lead – Software Delivery

We are looking for an Information Security Engineer with a strong passion for security-at-scale to join our growing team.The Information Security Engineer will play a key role in ensuring our services, applications, systems, and websites are protected to the highest security standards. A core responsibility of this role is the administration of Web Application Firewall (WAF) and Bot Management systems. Additional responsibilities include system hardening, patching, and supporting the organization’s overall security posture.&nbsp;You will be working in a challenging, dynamic, and inspiring environment alongside talented colleagues and state-of-the-art technologies.<h2>The main responsibilities of the position include:</h2><ul><li></li></ul><ul><li>Administer and manage WAF and Bot Management systems</li><li>Perform system hardening and ensure secure data handling during transmission, storage, and processing</li><li>Implement and manage access controls, including Privileged Access Management (PAM) solutions, to ensure secure and compliant access to critical systems</li><li>Review and enforce application control policies, ensuring only authorized software is executed and that software usage complies with organizational security standards</li><li>Review security violations and recommend procedures to prevent recurrence</li><li>Provide support to end users on security-related issues</li><li>Participate in incident management</li></ul><h2>Main requirements:</h2><ul><li></li></ul><ul><li>BSc/MSc in information security or a related field</li><li>Minimum 3 years of experience in Information Security, with at least 1 year of hands-on experience with Akamai security products</li><li>Practical experience with Akamai WAF, BMP, and other related tools</li><li>Strong security expertise in Windows, Linux, virtualization environments and databases</li><li>Familiarity with access control mechanisms, such as Privileged Access Management (PAM)</li><li>Experience in implementing and managing application control policies and reviewing software execution to ensure compliance with organizational security standards</li><li>Solid understanding of networking and communication protocols (e.g., TCP/IP, UDP, SSL/TLS, HTTP, HTTPS)</li><li>Strong analytical and problem-solving skills</li><li>Excellent communication and collaboration abilities</li><li>Ability to quickly learn new technologies and adapt to evolving security challenges</li></ul><h2>The following will be considered an advantage:</h2><ul><li></li></ul><ul><li>Akamai certifications or completed courses</li><li>Experience with AWS Cloud Security</li></ul><h2>Benefit from:</h2><ul><li></li></ul><ul><li>Attractive remuneration package</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul><h2>The Hiring Experience: What Awaits You</h2><ul><li></li></ul><ul><li>Let’s Connect – Intro Chat with Talent Acquisition</li><li>Show Your Skills – Online Technical Challenge</li><li>Final Connection – Final Interview</li></ul>All applications will be treated with strict confidentiality!

Information Security Engineer

Everllence Hellas Ltd is looking for a&nbsp;Junior DevOps Engineer to help us build a&nbsp;Self-Service AWS platform&nbsp;and support our developers with infrastructure.&nbsp;Group Digital is where DevOps meets real industrial impact. We build the digital backbone that connects Everllence’s global machinery with modern cloud platforms and data services.Our DevOps engineers design the tools, automation, and infrastructure that enable teams to deliver reliable software at scale. From CI/CD pipelines and cloud platforms to IoT data pipelines, your work directly supports systems powering global industries.You’ll work in an international engineering environment where experimentation is encouraged, ideas are valued, and technical excellence is a shared goal.As a Junior Engineer, you will work alongside seniors to help us experiment with&nbsp;ephemeral environments&nbsp;and&nbsp;AI-driven workflows&nbsp;for the first time.In our team, there are no silos. You will work in a friendly, flat environment where you will be mentored by seniors and encouraged to take on&nbsp;Scrum Master tasks. This is a role for someone who loves both the technical "how" and the agile "why."We can offer you the following tasks<ul><li>Helping build and evolve our internal Self Service AWS platform using Terraform, GitOps workflows, and modern AWS services.</li><li>Collaborating with senior engineers to design and prototype ephemeral environments and AI assisted developer workflows.</li><li>Joining the team’s rotation for platform support, helping developers troubleshoot AWS, CI/CD, and environment-related issues.</li><li>Improving automation, writing small scripts, and simplifying the developer experience across the platform.</li><li>Participating in agile ceremonies and occasionally stepping into Scrum Master responsibilities to help keep the team aligned.</li></ul>You can help us with these qualifications<ul><li>Degree in Software Engineering or relevant Science fields.</li><li>AWS &amp; Terraform: You know the basics of provisioning cloud resources via code.</li><li>Networking: Solid fundamentals, with an eagerness to learn Cilium.</li><li>GitOps: Experience or strong interest in ArgoCD and GitLab CI.</li><li>Empowerment Mindset: You enjoy making things easier for other people.</li><li>Agile Participation: A genuine willingness to help with Scrum tasks and sprint planning.</li><li>Any experience with containerization (Docker/Kubernetes), Basic Python or Bash skills to help automate self-service tasks will be considered a plus.</li></ul>Our Culture<ul><li>Enablement over Gatekeeping: We believe in empowering developers, not restricting them.</li><li>Full-on AWS: We leverage the best of the AWS ecosystem.</li><li>New Tech: From Cilium to AI-driven workflows and ephemeral testing, we want to move to new technologies.</li><li>Flat &amp; Friendly: We work in a highly cooperative, agile manner where planning is a shared responsibility.</li><li>Communicative: You are a proactive team player who is comfortable reaching out to support others. Whether you are helping a developer debug or facilitating a sprint, you communicate with clarity and kindness.</li></ul>Benefits &amp; Learning Opportunities<ul><li>Attractive compensation package</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>

Junior DevOps Engineer

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

AI Engineer

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.What you’ll doThe role is responsible to manage IT Service Desk and Data Center operational activities 24/7 under shifts, focusing on services availability and providing great customer experience to internal and external customers. &nbsp; &nbsp;More specifically you will:&nbsp;<ul><li>Administer, monitor, and support all data center solutions and IT infrastructure (internal and external), including system/application monitoring, incident/problem management, ticket handling (L1/L2), escalation based on severity and business impact, and collaboration with other teams. &nbsp;</li><li>Oversee data center facility operations, including physical security, access control, maintenance coordination, and support for internal/external access requests. &nbsp;</li><li>Analyze, design, and implement new data center installations, including capacity planning for power, cooling, space, and weight, and provide input on infrastructure requirements. &nbsp;</li><li>Manage data storage and backup operations, ensuring data protection, access control, and fulfillment of data requests. &nbsp;</li><li>Handle asset lifecycle management (LCM), including decommissioning/removal of equipment and secure destruction of failed or obsolete media (HDDs, backup tapes) via certified partners. &nbsp;</li><li>Produce regular (weekly/monthly) operational and performance reports</li></ul>Who you are<ul><li>Bachelor’s degree in Computer Science, Information Technology or a related field &nbsp;</li><li>At least 1 year of experience in the Service Desk domain with a proven track record &nbsp; &nbsp;&nbsp;</li><li>Experience in task management and in ticket recording tool (BMC Remedy ITSM)&nbsp;</li><li>Strong understanding of Server operating systems (Windows, Linux-Unix), software, and IT infrastructures&nbsp;</li><li>Familiarity with Networking and cloud solutions&nbsp;</li><li>Excellent analytical, technical, and problem- solving skills&nbsp;</li><li>Self – motivated with strong time-management &amp; collaboration skills, with the ability to work under pressure&nbsp;</li></ul>Not a perfect fit?Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.What's in it for you<ul><li>Award-winning work environment -certified #1 Top Employer in Greece</li><li>Competitive pay, bonus &amp; remuneration package</li><li>Private Health &amp; Medical Insurance</li><li>Hybrid way of working: a blend of remote and office-based working, including the option to work from abroad</li><li>Unlimited access to learning resources and trainings</li><li>Vodafone Parental Leave: 16 weeks of fully paid parental leave to all employees regardless of gender, sexual&nbsp; orientation or length of service</li><li>Spirit of Vodafone Day: one day each quarter dedicated to your personal development</li><li>Extra days off: Vodafone Day, Family Day, Volunteering Day</li><li>Office amenities (subject to the office location): such as restaurant, beauty corner, gym and parking</li><li>Special employee offers and discounts</li></ul>

IT Service Desk & DCM Engineer

Our client, a leading international company with about 300 employees around the world and 40+ of them based in Greece, is looking for a Software Quality Assurance Engineer to enhance their team in Thessaloniki.What You’ll Be Doing:<ul><li>Lead QA testing projects for software products and features, creating and automating test plans.</li><li>Mentor and coach your colleagues, promoting a strong Software QA culture.</li><li>Ensure projects are delivered on time and within scope and budget.</li><li>Recognize dependencies across the technology stack and collaborate with hardware and software teams to ensure product quality</li><li>Explore technologies to discover innovative ways they can be applied to solve problems.</li></ul>What We’re Looking For:<ul><li>MSc in Computer Science, Electrical Engineering, or related field</li><li>2+ years of experience as a Software QA Engineer, preferably in a lead role</li><li>Strong knowledge of frontend stacks (e.g. JavaScript, CSS preprocessors and bundling tools, React Remix run, Next.js).</li><li>Experience with Linux, web frameworks (e.g. Python/Django) and relational databases (preferably PostgreSQL).</li><li>Familiarity with CI/CD, DevOps, and automated testing tools and frameworks (Selenium, Playwright, Appium).</li><li>Experience with Cloud Services, especially Azure, is a plus.</li><li>Fluent both in Greek and English.</li></ul>What’s Offered:<ul><li>Unlimited contract</li><li>Medical Care package</li><li>An international working environment</li><li>Flexible working arrangements</li><li>Opportunities for personal development</li></ul>

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