AI Engineer
Machine Learning EngineerData
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Quick Summary
Requirements Summary
BSc or MSc degree in Computer Science, Software Engineering, Data Science, or any relevant field. 2+ years of experience in AI engineering, machine learning engineering, software engineering,
Technical Tools
Machine Learning EngineerData
- Build AI magic: Design and develop AI workflows and/or models in Python, with a focus on leveraging LLMs. You will learn how to bridge AI/ML and the Software Engineering world, building scalable AI solutions.
- Team collaboration: Work closely with data scientists, developers, and domain experts to brainstorm ideas, share updates, and guide progress.
- Stay ahead: Research new trends and integrate cutting-edge techniques into your projects.
- Problem-solving: Translate business needs into practical ML/AI solutions, while communicating results clearly.
- Document everything: Ensure your work is reproducible and easily understood across the team.
Requirements
~1 min read- BSc or MSc degree in Computer Science, Software Engineering, Data Science, or any relevant field.
- 2+ years of experience in AI engineering, machine learning engineering, software engineering, or a related role.
- Strong programming skills in Python.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Experience with LLMs, RAG, prompt engineering, or AI agents.
- Familiarity with vector databases and embedding technologies.
- Understanding of machine learning algorithms, model development, and deployment.
- Experience with APIs, software development practices, and version control.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong problem-solving and analytical skills.
- Good communication skills and a willingness to learn.
Nice to Have
~1 min read- Experience with HuggingFace, LangChain, and vector similarity search tools (e.g., FAISS, Pinecone).
- Experience with mainstream AI models from OpenAI, Google and/or Anthropic.
What We Offer
~1 min read✓Competitive Salary – A rewarding package that reflects your skills and experience.
✓Flexible Working – Enjoy flexible hybrid model in our modern Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).
✓Health & Wellness Benefits – Private insurance, and the chance to work with a stellar crew.
✓Learning & Development – Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) – whether it’s certifications or courses, we’ve got you covered.
✓Career Growth – Clear opportunities to develop your skills and progress within the company.
✓Great Team & Culture – Work with talented, supportive people in a collaborative environment.
✓Team Events & Perks – Enjoy social events, celebrations, and exclusive employee benefits.
✓Modern Tools & Technology – Everything you need to do your best work.
✓A Workplace That Values You – Your ideas, contribution, and well-being genuinely matter.
Location & Eligibility
Where is the job
Athens, Greece
On-site at the office
Listing Details
- Posted
- September 17, 2026
- First seen
- September 29, 2026
- Last seen
- September 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- September 29, 2026
Signal breakdown
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