AI Forward Deployed Engineer (GenAI)
Databricks · Amsterdam
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
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