AI Forward Deployed Engineer - France
Databricks1 day ago
Paris, FranceMid Level
Responsibilities
- Develop GenAI applications using techniques such as RAG, multi-agent systems, Text2SQL, and fine-tuning.
- Own production rollouts, evaluation, and optimization of GenAI applications.
- Serve as a trusted technical advisor to customers across different domains.
- Present at conferences and contribute as an internal and external AI thought leader.
- Collaborate with product, engineering, and developer relations teams to influence priorities and shape the product roadmap.
- Support internal subject-matter-expert teams and communicate technical concepts to technical and non-technical audiences.
Requirements
- At least 4 years of experience.
- Experience building GenAI applications with tools such as HuggingFace, LangChain, and DSPy.
- Extensive hands-on industry data science experience using tools such as pandas, scikit-learn, and PyTorch.
- Experience deploying production-grade machine learning applications on AWS, Azure, or GCP.
- Graduate degree in a quantitative discipline such as computer science, engineering, statistics, or operations research, or equivalent practical experience.
- Preferred experience using the Databricks Intelligence Platform and Apache Spark for large-scale distributed data processing.
- Willingness to travel to customer sites once every 4–8 weeks as needed.
- Ability to communicate and teach technical concepts to both technical and non-technical audiences.
Benefits
- Remote work is available for candidates based in France, with Paris as a preferred location.
- Comprehensive regional benefits and perks are offered; specific details vary by region.
- Customer travel is expected once every 4–8 weeks as needed.
Tech Stack
Categories
Forward 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.