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As a Junior Embedded Software Engineer you will be part of our growing R&amp;D team and contribute to the development of addressable panels on emergency lighting and fire alarm systems. You will work in a dynamic environment where your day to day will involve working as a team on world-class products.Your key responsibilities include<ul><li>Reading and understanding theoretical, electrical and electronic schematic designs</li><li>Developing software using C language</li><li>Performing functional tests</li><li>EMC performance testing</li></ul>What you bring to the team:<ul><li>Master's or Bachelor’s degree in Electrical or Electronics Engineering, Applied Computer Science or related technical field</li><li>Minimum 2 years of proven industry experience in the field of electronics</li><li>Minimum 2 years of experience developing embedded firmware using C coding language</li><li>Good knowledge of electronic circuits lab measuring instruments (multimeter, oscilloscope, etc.)</li><li>Proven skills in performing functional tests</li><li>Experience with 32-bit processors, preferably Cortex-M</li><li>Excellent team working skills is a must, both internally within the R&amp;D department as well as across departments</li><li>Fluency in English both written and spoken</li></ul>Nice to have:<ul><li>Knowledge of EMC performance testing</li><li>Knowledge of RTOS principles</li><li>Familiarity with PCB design guidelines</li></ul>What we offer:<ul><li>The opportunity to work on high-end projects, for products distributed worldwide to major clients</li><li>A chance to join a globally established company with skills development opportunities and an excellent working environment</li></ul>&nbsp;Send your resume,&nbsp;mentioning the position you are applying for, to&nbsp;cv@olympia-electronics.grThank you for your interest in Olympia Electronics, and good luck!

Junior Embedded Software Engineer, R&D, Thessaloniki

The Director, AI Quality Engineering Lead ensures that AI systems across the enterprise are safe, fair, reliable, compliant, and observable from pre‑release through continuous operations. This role designs and operates enterprise evaluation frameworks (quality, bias/fairness, robustness, privacy), leads red‑teaming and guardrail development, encodes policy and regulatory requirements as automated checks, and drives metric reporting and post‑incident learning across AI programs. The lead partners closely with Enterprise Architecture, Compliance, Legal/Privacy, Security, Data Governance, and product/engineering teams to enforce quality and safety gates and enable responsible scale. (Aligned to Corporate Policy and Responsible AI principles.) Reporting into the Head of Applied AI Engineering, you will manage a team of QA Engineers and AI Engineers. This role blends deep technical leadership, product engineering strategy, and direct enablement of enterprise use cases and services. You will partner closely with business, legal and technical stakeholders to design and deliver robust, scalable solutions that demonstrate the value of AI across our enterprise in a safe and compliant way. This role is execution-oriented with strong influence on building AI solutions responsibly.Evaluation and Test Strategy<ul><li>Define and run evaluation frameworks for LLMs and multi-modal systems covering performance, fairness, bias, robustness, safety, and privacy.</li><li>Build automatic + human-in-the-loop evaluation pipelines with reproducible scoring, statistical significance, and error analysis.</li><li>Establish SLOs/SLIs for quality (e.g., grounded accuracy, hallucination rate, privacy leak rate, harmful-content rate).</li></ul>Red-Teaming &amp; Safety Guardrails<ul><li>Design and run red-teaming against prompt injection, jailbreaks, sensitive data leakage, tool-abuse, and retrieval abuse.</li><li>Develop guardrail solutions (classification, content safety, PII/PHI detection, grounding checks, allow/deny lists, rate limiting, output filtering) to mitigate hallucinations, leakage, and compliance violations.</li><li>Maintain attack libraries and scenario banks; simulate adversarial behavior and monitor adaptive attacks over time.</li></ul>Pre‑Release Gating &amp; Continuous Assurance<ul><li>Operate pre‑release evaluation gates with baselines, regression checks, canary/A–B testing, and rollback criteria.</li><li>Run continuous evaluation in production with synthetic &amp; real traffic (shadow/ghost testing) and drift, bias, and toxicity monitoring.</li></ul>Stakeholder Leadership &amp; Culture<ul><li>Coach product teams on responsible AI practices and establish quality ownership norms.</li><li>Build a community of practice across Engineering, Security, Data Governance, and Risk—standardizing test data, benchmarks, and review rituals.</li><li>Mentor engineers building evaluation, red-team, and guardrail capabilities.</li></ul>BASIC QUALIFICATIONS<ul><li>7+ years in ML/AI/Platform/Quality roles, including 3+ years evaluating production systems.</li><li>Advanced degree in Computer Science, Engineering or related discipline.</li><li>Proven design &amp; operation of evaluation harnesses and policy-as-code checks in CI/CD.</li><li>Hands-on Python and expertise with evaluation and safety tooling such as: OpenAI Evals, Ragas/LangSmith, DeepEval, Azure AI Content Safety / OpenAI Moderation, Presidio, Guardrails.ai, Nemo, MLFlow, Grafana, Kibana, Azure monitor</li><li>Cloud &amp; MLOps: Azure/AWS, CI/CD (GitHub Actions/Azure DevOps, feature stores, vector DBs (Azure AI Search, OpenSearch, Pinecone), testing in pipelines.</li><li>Excellent communication with executives and engineers</li><li>Experience leading an engineering team.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Led an AI safety/quality function or enterprise red-team program.</li><li>Prior work with AI based applications, tool use/orchestration, and enterprise data governance.</li><li>Regulatory literacy (e.g., GDPR, EU AI Act readiness), and experience collaborating with Compliance/Risk, Security, and Legal.</li><li>Strong grasp of red-team techniques (prompt/indirect injection, jailbreaks, training data extraction, membership inference, model poisoning, tool abuse).</li><li>Experience with retrieval grounding checks, memory governance, and multi-tenant safety controls.</li></ul>

Director, AI Quality Engineering Lead 4946565

As a “Power Platform Expert” you will collaborate with the Kuehne + Nagel “Power Platform Team” and KN business units to deliver simple to complex solutions that solve key challenges and increase the company’s overall process efficiency. Moreover, you will support and enhance the Power Platform offering within KN via monitoring and administering the platform and providing consultancy to citizen developers.By automating manual and repetitive processes the organization can focus on value added tasks and free up time and effort for more complex and demanding jobs. Success is measured by your ability to deliver reliable automation solutions and supporting others in doing so.What we would like you to bring+ One-year experience in IT related job, familiar with at least one programming language (C#, Java, python, JavaScript, etc). + Bachelor’s degree in Computer Science or IT related major. +Experience with AI tools (MS Copilot Studio, etc). + Experience in source / version control tools and platforms (git, sv etc). + Experience in working in an agile team and tools (e.g. Jira, Confluence). + Problem solving skills. + Excellent written and verbal communications skills in English. + Knowledge in any low-code/no-code platform (Power Platform, n8n, etc) &nbsp;is important. +Experience in Azure is a plus. + Knowledge in SQL and any Data Analytics technologies is a plus.What's in it for you<ul><li>Be part of a global team and collaborate with multiple locations (Europe, America, Asia …).</li><li>Conduct product lifecycle following an Agile approach, with continuous improvement mind-set.</li><li>Support business teams identifying and automating potential processes.</li><li>Create documentation necessary to implement and maintain a process.</li><li>Create automations with the knowledge of the software tools and existing company’s systems.</li><li>Monitor platform utilization and performance and maximize systems uptime and efficient resource consumption.</li><li>Implement and maintain scripts and automations for infrastructure and services on company’s resources.</li></ul>

Job Ads Data Software Engineer Νομός Θεσσαλονίκης, Information Technology / It

junior embedded software engineer, r&d, thessaloniki

Olympia Electronics International

director, ai quality engineering lead 4946565

Pfizer Hellas

power platform expert

Kuehne+Nagel

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