AI Forward Deployed Engineer - France
Databricks12 hours ago
Paris, FranceSenior
Responsibilities
- Develop GenAI solutions using current techniques from Databricks AI research to solve customer problems.
- Own production rollouts of consumer-facing and internal GenAI applications.
- Advise customers technically across a range of domains.
- Present at conferences and establish thought leadership internally and externally.
- Collaborate with product and engineering teams to influence priorities and shape the product roadmap.
Requirements
- Experience building GenAI applications involving RAG, multi-agent systems, Text2SQL, fine-tuning, or similar techniques with tools such as HuggingFace, LangChain, and DSPy.
- Expertise deploying, evaluating, and optimizing production-grade GenAI applications.
- Extensive hands-on industry data science experience using tools such as pandas, scikit-learn, and PyTorch.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
- Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience.
- Experience communicating or teaching technical concepts to technical and non-technical audiences.
- Preferred experience with the Databricks Intelligence Platform and Apache Spark for large-scale distributed data processing.
- Willingness to travel to customers once every 4–8 weeks as needed.
Benefits
- Remote work is available for candidates based in France, with Paris as a preferred location.
- Databricks offers comprehensive regional benefits and perks.
- The role includes occasional customer travel approximately once every 4–8 weeks.
Tech Stack
Categories
AI ApplicationsForward Deployed
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.