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.
Job Type: Full-time
Pay: €54,000.00-€120,000.00 per year
Experience:
* Data Scientist: 5 years (required)
Work Location: Remote