Data Scientist / AI Engineer

This is a remote position.

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+