
Senior Data Scientist - AI Lab
- Paris
- CDI
- Temps-plein
- Build personalization systems that adapt our platform to each customer's unique context and needs
- Optimize RAG architectures for knowledge retrieval, embedding strategies, and multi-modal data processing
- Deploy ML models to production using Kubernetes and modern MLOps practices on GCP
- Create intelligent targeting models for audience selection and content optimization
- Monitor and measure impact of AI features, ensuring ROI and performance standards
- Collaborate with product teams to identify and prototype new AI capabilities
- 5+ years of Python experience in production environments
- Strong experience with LLMs and RAG systems (vector databases, embeddings, retrieval optimization)
- Proven track record deploying and monitoring ML models at scale
- Experience with cloud platforms (GCP preferred) and Kubernetes
- Ability to work with diverse data types (text, web content, structured data)
- Experience with Langchain, LangGraph, or similar LLM frameworks
- Knowledge of CRM or marketing automation platforms
- MLOps tools experience (ZenML, MLflow)
- Background in personalization or recommendation systems
- Drive the success of a product used by 500,000+ businesses worldwide
- Build with state-of-the-art AI technologies
- Shape key AI initiatives in a flat structure, working directly with the AI Director
- Python
- GCP (BigQuery, Vertex AI),
- Kubernetes,
- FastAPI,
- Langchain,
- MongoDB,
- PostgreSQL,
- Neo4j
- A place to grow, together :
- HR screening (30 min)
- Technical discussion with AI Director and the VP AI meeting (1 hour)
- Meet the AI Team for a ☕!
- Reference check