Join our team as a Senior AI Engineer/Senior Data Scientist. You will be responsible for defining and driving the AI strategy, leading and growing the team, designing and industrializing AI pipelines, and ensuring the robustness and scalability of AI components. You should have solid experience in Machine Learning/NLP/LLMs, strong command of RAG & LLMOps concepts and tools, and excellent knowledge of ML frameworks.
About the role
**Preferred experience** * Solid experience (5+ years) in Machine Learning / NLP / LLMs, including significant work on production-grade projects. * Strong command of RAG & LLMOps concepts and tools: vector DBs, retrievers, embeddings, evaluation, LangChain/LangGraph, agent orchestration, etc. * Excellent knowledge of ML frameworks: PyTorch, Transformers, Hugging Face, etc. * Strong Python skills and good understanding of backend/data architectures (FastAPI, Airflow, Spark, etc.). * Experience deploying models to production, ML CI/CD, monitoring, and performance. * Technical leadership abilities: mentoring, code reviews, spreading best practices, cross-squad coordination. * Curiosity, pragmatism, and a passion for real-world innovation. **Bonus:** * Experience with LLM evaluation frameworks * Participation in open-source projects or public AI contributionsKey missions
- Define and drive the AI strategy, including the technical roadmap around RAG, semantic search, language models, and answer quality.
- Lead and grow the team of machine learning engineers, data scientists, and data engineers, including mentoring, hiring, and establishing best practices.
- Design and industrialize AI pipelines, including ingestion, vectorization, indexing, fine-tuning, evaluation, and model monitoring.
Benefits
- Flexible working hours
- Work from anywhere
- Between 3-4 days at home
- Food service or stocked kitchen
- Pet-friendly office
- Game room
- Diversity manifesto
- Dedicated Diversity & inclusivity staff
- Generous PTO
- Reduction of working time (RTT)
- Cooptation bonus
- Team building
- Afterworks, Team lunches
- Volunteer
- Professional development plan
- Bicycle storage
- Reimbursement above 50%