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SKM Group

Senior Data Scientist (strong LLM) [J287]

Posted
Discussion

Compensation: €54k – €120k • No equity

We’re looking for a Senior Data Scientist with strong hands-on experience in fine-tuning Large Language Models (LLMs) on proprietary data. You’ll work at the intersection of research and production, delivering high-performance, business-ready AI solutions.

What You’ll Do

  • Prepare and curate proprietary datasets for LLM fine-tuning
  • Fine-tune models using LoRA, QLoRA, GRPO, and related techniques
  • Benchmark, evaluate, and iterate on model performance
  • Deploy fine-tuned models into production inference pipelines
  • Stay current with cutting-edge LLM research and apply relevant advances
  • Collaborate with product, engineering, and business stakeholders

What We’re Looking For

  • Proven experience fine-tuning LLMs on private/proprietary data
  • Strong background in ML, NLP, and deep learning
  • Hands-on with PyTorch or TensorFlow and Python
  • Experience with Hugging Face Transformers
  • Solid data skills (Pandas, NumPy) and Git-based workflows
  • Strong communication skills and collaborative mindset

Nice to Have

  • Experience with RAG / GraphRAG, reasoning or agentic models
  • Research background or publications in AI/ML/NLP
  • MLOps exposure and model deployment experience
  • MS or PhD in a relevant field

What do we offer you?

  • Attractive salary
  • Large freedom and real influence
  • No unhealthy competition, team approach to meeting challenges
  • Remote-first, flexible working culture
  • Company apartments in cool cities across Europe: work and enjoy a memorable getaway

About Us

We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions — always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.

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