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

Mid ML Engineer

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

Junior engineer, Officer - AI center of excellence

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

Senior Data Scientist

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

AI & Data Engineer

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

Autonomous Systems Engineer

Intellectica is recruiting an AI Foundation Model Specialist on behalf of a leading technology services group headquartered in Athens, Greece, operating under a hybrid working model. The selected candidate will join a high-performing Data &amp; AI team and will play a pivotal role in designing, developing, and deploying cutting-edge AI solutions, contributing to transformative initiatives that enhance business performance, unlock new value streams, and drive innovation across diverse industries.Key activities and responsibilities of this role include:&nbsp;<ul><li>Leading the end-to-end design, development, and delivery of advanced AI solutions, ensuring alignment with business objectives and scalable technology standards</li><li>Developing, testing, and deploying Generative and Agentic AI applications, including agent-based workflows</li><li>Implementing Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, advanced prompting strategies (e.g., few-shot, chain-of-thought), fine-tuning techniques, and integrate both open-source and general-purpose AI systems</li><li>Collaborating with AI engineers and software developers to deploy AI models into cloud environments (AWS, GCP, Azure)</li><li>Cooperating with Data &amp; AI Architects to design robust and scalable AI product architecture</li><li>Optimizing AI applications for performance, scalability, and accuracy</li><li>Coaching and mentoring junior AI Engineers in developing and integrating key AI application components</li><li>Any other task that may be required from time to time</li></ul>Professional experience &amp; qualifications of a successful candidate:<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree or PhD will be considered an asset</li><li>Minimum of 2 years’ hands-on programming experience in Artificial Intelligence (AI), Natural Language Processing (NLP), Machine Learning, Deep Learning, or related fields</li><li>Proficiency in programming languages such as Python, Java, or C++</li><li>Hands-on experience with Large Language Models (LLMs) such as GPT, Bard, or LLaMA, as well as image generation systems like DALL·E, Stable Diffusion, or MidJourney</li><li>Solid understanding of core Generative AI principles, including fine-tuning, prompt engineering, and integration of open-source and general-purpose AI systems</li><li>Proven ability to architect and operate solutions built on core LLM and Generative AI technologies, including open-source frameworks, Azure OpenAI, and Amazon Bedrock</li><li>Strong background in RESTful APIs and microservices-based architectures</li><li>Familiarity with GPU-based computing infrastructure, relational and NoSQL databases as well as cloud services related to AI/ML&nbsp;will be considered a plus</li><li>Fluent in Greek with professional-level English communication skills</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Strong creative problem-solving skills, with a focus on addressing real-world business challenges</li><li>Comfortable working within a global, highly collaborative team environment</li><li>Demonstrated leadership skills, setting clear priorities and driving effective execution</li><li>Clear and confident communicator across cross-functional teams and stakeholders</li><li>Proactive, dependable, and results-driven professional mindset</li></ul>

AI Foundation Model Specialist

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

Senior Data Engineer

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

Everllence Hellas Ltd is looking for a&nbsp;Senior Software Engineer. The job requires you to be able to work independently while you have a keen sense of community as well can work in teams.We can offer you the following tasks<ul><li>Shape the future of our digital solutions that boost performance, cut costs, and reduce emissions for global clients.</li><li>Design, build, and test scalable components for our next-generation digital platforms.</li><li>Collaborate with industry experts to develop and maintain advanced tools and analytics for monitoring machine fleets.</li><li>Innovate and experiment: Use our dedicated Innovation Friday to pitch ideas and drive meaningful change.</li></ul>You can help us with these qualifications<ul><li>Degree in Software Engineering or relevant Science fields.</li><li>A growth mindset: You are curious, adaptable, and ready to learn continuously.</li><li>Proven experience building highly available, responsive, and cost-efficient software systems.</li><li>Strong programming skills in modern languages and frameworks: HTML, CSS, TypeScript (Angular, NgRx, RxJS). Bonus points for Python or Java.</li><li>Hands-on experience with Microservices architecture using Golang.</li><li>Familiarity with agile practices and test-driven development.</li><li>Passion for exploring new technologies—including turbomachinery—and sharing knowledge with peers.</li><li>Excellent communication skills in English and a collaborative approach to international teamwork.</li><li>Self-driven, results-oriented, and a true team player. Team spirit is paramount to you, as it is to us. You work autonomously, are highly motivated, and results-oriented.</li></ul>Benefits &amp; Learning Opportunities<ul><li>Attractive compensation package&nbsp;</li><li>Conference Budget</li><li>Continuous training opportunities</li><li>Opportunities for professional growth and advancement.</li><li>Work on impactful projects that shape the digital future of industrial solutions.</li><li>Be part of a culture that values innovation, autonomy, and continuous improvement.</li><li>Enjoy flexibility, global collaboration, and opportunities to grow your expertise.</li></ul>

Senior Software Engineer

As a Platform Technical Lead – Data, MLOps &amp; Virtualization, you will play a key role in ensuring the operational resilience, engineering coherence, and production readiness of critical enterprise platforms across database services, machine learning operations, and virtualization infrastructure.You will lead modernization and transition initiatives across multiple technology towers, balancing operational stability with platform evolution. Acting as a senior technical authority, you will coordinate engineering activities, recovery readiness, infrastructure transitions, and service improvements while ensuring dependencies across platforms are proactively managed.Your role:<ul><li>Lead the operational and engineering roadmap across database platforms, MLOps environments, and virtualization infrastructure.</li><li>Drive the transition from legacy database technologies toward modern platforms such as PostgreSQL, MongoDB, and emerging cloud-native data services while ensuring production stability and service continuity.</li><li>Own the operational readiness and reliability of MLOps platforms, including deployment governance, observability, platform resilience, and coordination with Kubernetes and cloud engineering teams.</li><li>Lead virtualization and infrastructure modernization initiatives, including Hyper-V adoption, VMware transition activities, HPE hardware lifecycle management, and backup/disaster recovery governance.</li><li>Act as the escalation point for critical incidents, complex migrations, disaster recovery testing, service restoration, and major engineering activities across the supported technology towers.</li><li>Ensure platform dependencies across infrastructure, databases, and ML operations are managed proactively and aligned with operational and engineering objectives.</li><li>Coordinate with vendors, infrastructure teams, cloud engineers, and operational stakeholders to ensure platform performance, recoverability, and long-term sustainability.</li><li>Drive continuous improvement initiatives focused on automation, resilience, monitoring, scalability, and operational excellence.</li><li>Contribute to technology transition planning, capacity management, modernization roadmaps, and service improvement strategies.</li><li>Maintain and promote engineering standards, operational governance, and production readiness practices across all managed platforms.</li></ul>Your profile:<ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).</li><li>8-10 years of experience in enterprise database operations, administration, and migration programs within complex production environments.</li><li>Strong technical expertise across relational and modern data platforms, including technologies such as DB2, PostgreSQL, MongoDB, and cloud-native database ecosystems.</li><li>Hands-on understanding of MLOps and machine learning platform operations, including Kubernetes-based environments and technologies such as Kubeflow, Pachyderm, Ray, Python, and GPU-enabled platforms.</li><li>Strong experience with enterprise virtualization and infrastructure engineering technologies, including Hyper-V, VMware, SCVMM, Azure Arc, HPE Synergy, OneView, and backup/recovery tooling.</li><li>Proven ability to lead complex technology transitions, modernization initiatives, and operational transformation programs.</li><li>Strong understanding of disaster recovery, backup strategies, operational resilience, recoverability testing, and service continuity practices.</li><li>Experience coordinating vendors, infrastructure teams, cloud/platform engineers, and operational stakeholders in enterprise environments.</li><li>Strong analytical, troubleshooting, stakeholder management, and communication skills.</li><li>Ability to balance operational reliability with modernization and platform evolution objectives.</li><li>Fluent in English (written and spoken).</li></ul>

Platform Technical Lead – Data, MLOps & Virtualization

UNIC Athens, the University of Nicosia's academic and research base in Greece, combining internationally ranked teaching with state-of-the-art facilities, is seeking a Senior Campus Sensor &amp; Systems Operations Engineer&nbsp;to join its team.This role owns the on-campus hardware layer that feeds our data and AI platforms: antennas, receivers, environmental stations, cameras, radars, timing systems, and the on-prem servers that tie them together. You’re the person who makes sure “the machines are alive” and the data keeps flowing.The work is hands-on, rooftop and rack-level, plus enough Linux and networking to keep a small sensor observatory running smoothly.&nbsp;Responsibilities:&nbsp;Keep a campus-scale sensor observatory onlineMonitor health of diverse sensors: RF receivers, satellite downlinks, short-range radars, optical/IR cameras, acoustic arrays, seismic/structural, weather, and air-quality stations.Diagnose issues across power, RF signal, network, and compute layers; coordinate timely fixes.Maintain inventories, diagrams, and simple runbooks for each subsystem.Operate on-prem compute and storage nodesMaintain a small fleet of Linux servers dedicated to signal processing, media ingest, and sensor fusion.Handle OS updates, basic security hardening, disk/CPU monitoring, and log rotation.Work with central platform engineers to ensure data lands in the right queues/buckets/streams.Manage power, networking, and timing for sensorsOversee PoE switches, rooftop cabinets, UPS feeds, and basic environmental monitoring.Ensure reliable fibre/copper connectivity between rooftop cabinets, comms rooms, and core network.Operate and monitor GNSS-based timing / reference equipment used for precise time-stamping.Support installation, maintenance, and calibrationPlan and execute sensor deployments and relocations (roof, mast, dish frame, façades) with facilities.Coordinate periodic calibrations (e.g. weather, air quality, structural/ground sensors) with vendors and internal teams.Enforce safe working practices for rooftop and equipment-room work.Act as the bridge between campus and platform teamsReport status of on-campus systems and upcoming maintenance windows.Help test new data feeds, firmware updates, and configuration changes before they go to production.Provide clear feedback on physical constraints and operational realities back to architects and data/AI teams.Additionally:Daily / weekly operational checks on key systems, with clear escalation when something drifts or fails.Set up and maintain monitoring dashboards and alerts (metrics, logs, basic traces) for sensors and compute.Script routine tasks in Bash/Python (health checks, log scrapes, simple data sanity checks).Coordinate with vendors and contractors for specialized repairs and installs.Maintain accurate documentation (rack layouts, IP plans, cabling runs, rooftop layouts, change logs).&nbsp;Qualifications:&nbsp;Education:<ul><li>A BSc in Computer Engineering, or Electrical Engineering or related field.</li></ul>&nbsp;Experience:4+ years in a systems / field / instrumentation / NOC / SRE-style role, working with real hardware (not just cloud).&nbsp;Required Skills:&nbsp;Solid Linux experience (Ubuntu or similar): networking, system services, storage, logging.Strong practical networking skills: VLANs, PoE switches, fibre vs copper, basic routing, VPNs.Hands-on experience with at least some of:Environmental or industrial sensors (weather, air quality, structural, seismic, etc.), orRF / broadcast / telecom equipment, orCCTV / video analytics / radar / acoustic sensing.Comfortable reading wiring diagrams, labelling cables, and keeping tidy racks/cabinets.Able to work safely on rooftops and with facilities teams; familiarity with basic electrical and lightning/surge safety.Clear written documentation skills and enough English to collaborate with remote engineering teams.&nbsp;Additional Skills:&nbsp;Experience running or supporting a small observatory, lab, broadcast site, or similar multi-sensor facility.Exposure to GNSS timing, NTP/PTP, or other time-synchronization systems.Familiarity with Prometheus/Grafana or similar monitoring stacks.Basic RF concepts (antennas, coax, gain/noise, filters) or environmental monitoring concepts (calibration, QA/QC).Greek language skills and prior work on a university or research campus.&nbsp;What success looks like:Within a few weeks, you know every major sensor, cabinet, and server by name and location.Within a few months, outages are rare, short, and well-understood, with clear runbooks and monitoring in place.The data and AI teams treat the campus observatory as a reliable “black box” they can build on, because you keep it that way.

Senior Campus Sensor & Systems Operations Engineer - UNIC Athens

Everllence Hellas Ltd is looking for a&nbsp;Senior DevOps Engineer to help us build a world-class developer experience. We don’t want to be a bottleneck; we want to be an enabler. We are moving heavily toward Self-Service and want to go towards Ephemeral Environments, ensuring our developers have the power to spin up what they need, when they need it, for development and testing.&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 Senior, you will participate in architecting the shift toward Cilium for networking and security while investigating integrating AI tooling to further automate the developer journey. In our flat organization, you will also serve as a coach—taking on Scrum Master tasks and leading planning to keep our close-knit, friendly team aligned.We can offer you the following tasks<ul><li>Designing and evolving our AWS‑based internal developer platform, focusing on self‑service capabilities, Terraform workflows, and scalable EKS infrastructure.</li><li>Leading the adoption of ephemeral environments and steering our migration toward Cilium for next‑generation networking, observability, and security.</li><li>Investigating and integrating AI‑driven tooling to streamline CI/CD, reduce toil, and enhance the overall developer experience.</li><li>Participating in the developer support rotation and providing expert guidance to teams on AWS architecture, pipelines, and platform usage.</li><li>Facilitating agile ceremonies—including stand‑ups, sprint planning, retrospectives, and backlog refinement—as part of your senior role.</li><li>Coaching junior engineers, promoting engineering best practices, and helping maintain a healthy, transparent, and collaborative team culture.</li><li>Building automation, tooling, and documentation that empower developers and reduce operational friction across the organization.</li></ul>You can help us with these qualifications<ul><li>Degree in Software Engineering or relevant Science fields.</li><li>AWS &amp; Infrastructure: Expert-level Terraform and EKS management.</li><li>Developer Self-Service: Experience building internal platforms that empower developers.</li><li>Ephemeral Environments: Knowledge of tools and strategies for short-lived, on-demand test environments.</li><li>Networking &amp; Mesh: Assisting our expansion into Cilium.</li><li>Automation: Advanced Python and Bash for custom tooling and AI integration.</li><li>GitOps: Mastery of ArgoCD and GitLab CI.</li><li>Expert advice and support: Supporting developers on implementations and features with knowledge and infrastructure.</li></ul>What we look for<ul><li>A "Platform as a Product" mindset—you build for your fellow engineers.</li><li>A collaborative leader who is happy to facilitate&nbsp;Scrum ceremonies&nbsp;and sprint planning.</li><li>A friendly peer who thrives in a flat hierarchy where everyone’s voice matters.</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>

Senior DevOps Engineer

Under this framework, we are currently looking for enthusiastic&nbsp;Senior Data Engineers&nbsp;to become part of our dynamic Consulting team in our offices in&nbsp;Athens. In this role, you’ll work with cutting-edge technologies to help clients transform their technology platforms and business operations. Partnering with some of the world’s largest organizations, you’ll help COO’s, CFO’s, CIO’s and their teams realize their ambitions – from improving financial performance, to accelerating speed to market and delivering continuous innovation.Our diverse and passionate team is encouraged to use agile techniques in the development, delivery and on-going management of analytics services and solutions that solve complex business issues through descriptive analytics, advanced visualization, data warehousing, multi-dimensional modelling and business intelligence.#YourRoleYour role as a&nbsp;Senior&nbsp;Data Engineer&nbsp;will focus on leading the delivery of client engagements, by understanding objectives for clients and Deloitte,&nbsp;aligning yours and your team’s work&nbsp;to objectives and setting personal priorities, teaming with others across businesses and borders and taking accountability for own and team results&nbsp;to meet client expectations and project’s desired outcomes.In this role, you will build relationships and exercise your communication skills in order to positively influence your peers and other stakeholders. You will commit to personal learning and development by actively seeking opportunities for growth, you will share knowledge and experience with others, and act as a strong brand ambassador, embracing our purpose and values in order to put these into practice in your professional life.During your tenure as a&nbsp;Senior&nbsp;Data Engineer, you will demonstrate and develop your ability to:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Participate in large-scale Data Modernization Programs&nbsp;working in international environments·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Lead the delivery of both Cloud and On-Premises Data Initiatives and serve as technical expert for Data Engineering Teams·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design data-based solutions&nbsp;and data architectures&nbsp;that enable the client’s technology agenda, and communicate market trends and potential impacts effectively to the client·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Provide guidance on project delivery approach, defining success criteria, communication plans, resource plans, project plans, etc.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design the architecture of the ETL/ELT jobs by utilizing and combining available components and tools·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Assist in the analysis, design, development and testing of Data &amp; Business Intelligence solutions, spanning from data quality sanity checks and data integration controls to data reconciliation across different environments.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Train and mentor colleagues and clients alike with best practices.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support and participate in business development activities of the firm. #WinningRequirementsTo qualify for the role you must have:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor’s Degree in Information Technology, Computer Science, Engineering, Mathematics or other related field.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Master’s Degree in Information Technology or Computer Science.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;At least&nbsp;3&nbsp;years&nbsp;of relevant work experience.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in leading medium to large-scale teams.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;knowledge of&nbsp;Data Warehouse, Data Management, Data Architecture, Data Governance and Business Intelligence principles and techniques.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in On-Premise technologies stacks such as&nbsp;IBM AS400 (DB2), MS SQL Server and Oracle.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in Cloud technology data services such as Databricks, Azure Synapse Analytics, Azure Data Factory,&nbsp;Microsoft Fabric, AWS Glue and GCP BigQuery.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in Data Visualization tools such as Power BI, Qlik and Tableau.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in Orchestration solutions such as Control-M and Apache Airflow.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in Data Science and AI / ML techniques and tools will be considered a plus.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong interpersonal and communications skills in Greek and in English.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Military obligations fulfilled where applicable.&nbsp;#A&nbsp; #AboutConsulting Five core competency areas make up our Consulting service line:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strategy, Analytics and M&amp;A·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Customer and Marketing·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Core Business Operations·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Human Capital·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Enterprise Technology and Performance We exist to solve complex problemsOur consultants are renowned for their straightforward approach to solving some of the world’s largest and most complex business challenges. Each member of our Consulting team is energized by the challenge a seemingly inscrutable problem presents. Our distinctiveness lies in our refusal to accept a problem at face value - we draw on the depth of our shared insight to ask the right questions, and it’s these questions that uncover answers - answers with impact.We are committed to collaborationOur role is to unlock potential for growth and innovation. We believe this requires real collaboration – with our own networks and with our clients. It’s why we commit to truly getting under the skin of our client’s needs, developing a full appreciation for their environment, goals and ambitions. We’re also unafraid to challenge.&nbsp; In so doing, we build long-term and trusted affinities.We create long-term, sustainable impact &nbsp;We often work hand-in-hand with our clients to help find the right solution and to help apply that solution. Our aim is to leave behind ambassadors who are equipped to continue the transformation we began. For us, it’s about embedding sustainable change, allowing the impact of our insight to be felt for a long time to come.#AboutConsulting Our 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 is at the centre of our unique talent experience. We create a workplace that encourages collaboration, creativity, inclusiveness to ensure our staff are supported, encouraged and feel a sense of purpose and meaning in what they do each day. Sounds like the sort of role for you? Apply now. 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&nbsp;(collectively,&nbsp;the "Deloitte&nbsp;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 [1]&nbsp;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 [2]&nbsp;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 500g; companies. Learn how Deloitte's approximately 312,000 people make an impact that matters at [3]&nbsp;www.deloitte.com. This document and its contents are prepared solely for your use, and may not be reproduced, redistributed or passed on to any other person in whole or in part, unless otherwise expressly agreed with you. No other party is entitled to rely on this document for any purpose whatsoever and we accept no liability to any other party, who is provided with or obtains access or relies to this document. (c) 2024 Deloitte Central&nbsp;Mediterranean.&nbsp;All rights reserved.

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