
1001 - 5000 employees
Founded 2013
đ€ Artificial Intelligence
đą Enterprise
âïž SaaS
đ° $1.6G Series H on 2021-08
Artificial Intelligence âą Enterprise âą SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
đ„ 37 minutes ago
đ«đ· France â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ€ Artificial Intelligence
đ» Ghost score 11%
Where this job comes from
Posted on Databricks's careers page, not through a job board
First seen by Remote Rocketship 37 minutes ago

1001 - 5000 employees
Founded 2013
đ€ Artificial Intelligence
đą Enterprise
âïž SaaS
đ° $1.6G Series H on 2021-08
Artificial Intelligence âą Enterprise âą SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
âą Develop cutting-edge GenAI solutions using techniques from Databricks AI research to solve customer problems âą Own production rollouts of consumer-facing and internally facing GenAI applications âą Serve as a trusted technical advisor to customers across varied domains âą Present at conferences such as Data + AI Summit and act as a thought leader internally and externally âą Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap âą Report to the Senior Manager - AI FDE, EMEA
âą Minimum 4 years' experience âą Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning âą Experience with HuggingFace, LangChain, and DSPy âą Expertise deploying production-grade GenAI applications, including evaluation and optimisations âą Extensive hands-on industry data science experience using tools such as pandas, scikit-learn, and PyTorch âą Experience building production-grade machine learning deployments on AWS, Azure, or GCP âą Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience âą Experience communicating and/or teaching technical concepts to technical and non-technical audiences âą Passion for collaboration, lifelong learning, and driving business value through AI âą Willingness to travel once every 4â8 weeks to see customers as needed âą Preferred: experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
âą Comprehensive benefits and perks; specific regional benefits are provided via the linked benefits document âą Remote work for candidates based in the France region âą Opportunities to present at conferences such as Data + AI Summit âą Professional services and customer-facing AI project experience âą Collaboration with engineering, product, developer relations, and internal subject matter expert teams
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