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AI Forward Deployed Engineer

đŸ”„ 37 minutes ago

đŸ‡«đŸ‡· France – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

đŸ€– Artificial Intelligence

Where this job comes from

Posted on Databricks's careers page, not through a job board

First seen by Remote Rocketship 37 minutes ago

Logo of Databricks

Databricks

1001 - 5000 employees

Founded 2013

đŸ€– 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.

📋 Description

‱ Develop cutting-edge GenAI solutions using techniques from 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 varied domains ‱ Present at conferences such as Data + AI Summit and act as a thought leader internally and externally ‱ Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap ‱ Report to the Senior Manager - AI FDE, EMEA

🎯 Requirements

‱ 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 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 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

đŸ–ïž Benefits

‱ Comprehensive benefits and perks; specific regional benefits are provided via the linked benefits document ‱ Remote work for candidates based in the France region ‱ Opportunities to present at conferences such as Data + AI Summit ‱ Professional services and customer-facing AI project experience ‱ Collaboration with engineering, product, developer relations, and internal subject matter expert teams

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