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AI Forward Deployed Engineer (GenAI)

Databricks · Amsterdam

New
Senior 🇬🇧 English
HuggingFace LangChain DSPy PyTorch pandas scikit-learn AWS Azure GCP Apache Spark Databricks Intelligence Platform RAG Text2SQL

Job description

About the role

Databricks' AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team that delivers professional services engagements helping customers build and productionize first-of-its-kind AI applications. It works cross-functionally with engineering, product and developer relations, and supports internal SME teams. The role reports to the Senior Manager - AI FDE, EMEA and is based in Amsterdam; candidates must be based in the Netherlands region only, with no remote work available from other countries.

Key responsibilities

  • Develop cutting-edge GenAI solutions using the latest techniques from Databricks AI research to solve customer problems
  • Own production rollouts of consumer and internally facing GenAI applications
  • Serve as a trusted technical advisor to customers across a variety of domains
  • Present at conferences such as Data + AI Summit and act as a thought leader internally and externally
  • Work cross-functionally with product and engineering teams to influence priorities and shape the product roadmap

Required profile

  • Minimum 4 years of experience
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
  • Experience building production-grade machine learning deployments on AWS, Azure or GCP
  • Experience communicating and teaching technical concepts to both non-technical and technical audiences
  • Willingness to travel once every 4-8 weeks to see customers as needed

Required skills

  • Building GenAI applications such as RAG, multi-agent systems, Text2SQL and fine-tuning with tools like HuggingFace, LangChain and DSPy
  • Deploying production-grade GenAI applications, including evaluation and optimisation
  • Hands-on data science experience with tools such as pandas, scikit-learn and PyTorch
  • Preferred: experience with the Databricks Intelligence Platform and Apache Spark for large-scale distributed datasets

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Published 7 uur geleden

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Databricks

Amsterdam