
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
Artificial Intelligence • Enterprise • 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.
🔥 37 minutes ago
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
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
Artificial Intelligence • Enterprise • 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.
• Develop cutting-edge GenAI solutions using the latest Databricks AI research to solve customer problems • Own production rollouts of consumer-facing and internally facing GenAI applications • Serve as a trusted technical advisor to customers across various domains • Present at conferences such as Data + AI Summit and act as a thought leader internally and externally • Collaborate with product and engineering teams to influence priorities and shape the product roadmap • Report to the Senior Manager – AI FDE, EMEA
• Minimum 4 years' experience • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning • Experience with HuggingFace, LangChain, and DSPy • Expertise deploying production-grade GenAI applications, including evaluation and optimisations • Extensive hands-on industry data science experience • Experience with pandas, scikit-learn, PyTorch, and common machine learning/data science tools • 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 and/or teaching technical concepts to technical and non-technical audiences • Passion for collaboration, lifelong learning, and driving business value through AI • Willingness to travel once every 4–8 weeks to see customers as needed • Preferred: Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets • Candidates must be based in the Germany region; remote work is not available from other countries
• Comprehensive benefits and perks tailored to regional employee needs (specific details provided via Databricks' regional benefits document) • Remote work option for applicants located near Databricks offices in Germany
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