Machine Learning Engineer H/F

This is a hands-on engineering role , where focus is shipping GenAI/NLP models to production in Python , working shoulder-to-shoulder with MLEs inside a lean 5-6 person squad across 3-4 projects. Building production-ready GenAI/LLM features - chatbot assistants and NLP systems, from prototype to production. Writing structured, quality Python with real engineering discipline: PR practices, Git, CI/CD, Docker . Designing end-to-end NLP pipelines - data processing, model development, evaluation, deployment. Getting hands-on with LLMs, embeddings and modern GenAI tooling (OpenAI, AWS Bedrock). Brings 3-5 years of experience building production features/systems with AI/ML . Writes advanced, production-grade Python - not notebook scripting. Has worked on real NLP / GenAI / LLM projects and can explain them in depth - embeddings, evaluation metrics beyond accuracy, how they assessed system performance. Thinks like an ML engineer : moves models to production, understands the full pipeline, applies solid coding practices ( Git, PR, CI/CD, Docker ). Knows their way around ML libraries (scikit-learn, PyTorch) and data processing (pandas). ? Familiarity with AWS infrastructure (S3, Lambda, Bedrock). Understanding of data augmentation, bias and training pipelines . A Software Engineering background with a recent move into AI/ML. Hybrid: 1-2 days in the office). ? Language : English C1 (Fluent, all team communication is in English).

An individual training budget of €1,200 for whatever you choose: events, books, certifications or courses. Flexible working hours to balance your professional and personal life. ?? Private health insurance fully paid by Capitole. ?? Discounts on major brands for employees (Club Capitole). ? Capitole | Empowering people, unlocking technology innovation