Ingénieur IA / MLOps · GenAI, LLM & pipelines prod
FranceRemote5–8 ans 4.5
DATA SCIENTIST | NLP | MACHINE LEARNING | LLM SYSTEMS Data Scientist experienced in building end-to-end ML systems, NLP applications, anomaly detection, and recommendation engines. Skilled in translating business problems into scalable data products using statistical modeling and experimentation.
Built Python APIs and batch jobs; contributed features to an ML or analytics product. Stack: SQL, scikit-learn or PyTorch, Git, Docker — replace with your employer, metrics, and repo links.
End-to-end mini project: dataset → model or RAG assistant → simple deployment. Highlight one measurable outcome (latency, accuracy, users, or cost saved).
POC or internal tool with Python, SQL, scikit-learn, Git: ML pipeline, RAG assistant, automation, or analytics. GitHub or demo link when possible.
Ganloss recruiters often review projects before reaching out.