Data Scientist / AI Engineer

Project overview Client: AI company Duration: 12 months Start: ASAP Working mode: Fully remote Daily rate: up to 350€ Role context Hands-on Data Scientist / Applied AI Engineer role focused on delivering practical AI and GenAI solutions. The work is execution-driven, with strong emphasis on data quality, evaluation, and reliable outputs rather than platform or BI development. Scope · Build and deliver AI / ML proof-of-concepts · Prepare data, implement models, and deliver production-ready code · Apply LLMs in practice (prompting, structured outputs, evaluation, RAG) · Collaborate closely with client teams and support workshops Good fit / No fit (important) Good fit: hands-on, Python-first, delivery-oriented AI engineers No fit: data platform / BI profiles, architecture-heavy roles, research-focused or lead-only profiles Requirements Required profile · Strong background in Data Science / ML / Statistics · Hands-on ML pipelines in Python or R (e.g. scikit-learn, pandas, numpy) · Practical GenAI experience (LLMs, LangChain, Chainlit, RAG) · Comfortable working with messy, real-world customer data · English B2+