AI Forward Deployed Engineer - Netherlands is a Forward Deployed AI Engineer role (full-time). with Databricks. in AMSTERDAM, NL. Imported listing (source: aihiringboard.com). Apply on the employer's site (aihiringboard.com).
Imported listing (source: aihiringboard.com) · Apply on aihiringboard.com
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Imported job description
Sourced from aihiringboard.com
Databricks is seeking an AI Forward Deployed Engineer to join its specialized customer-facing AI team in Amsterdam. In this role, you will help customers build and productionize first-of-its-kind GenAI applications, serving as a trusted technical advisor and driving production rollouts. You will collaborate cross-functionally with product and engineering teams to shape the product roadmap and present at conferences like the Data + AI Summit.
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, recognized as a thought leader internally and externally.
Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.
Requirements
Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy.
Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
Databricks is a data and AI company that created the data lakehouse architecture. Its unified platform supports data engineering, data warehousing, machine learning, and AI application development.
Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.
Passion for collaboration, life-long learning, and driving business value through AI.
Nice to Have
Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets.
Willing to travel once every 4-8 weeks to see customers (as needed).