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Databricks

Builds cloud software for data analysis and AI

AI Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • At least 4 years of experience in data science, machine learning, or artificial intelligence.
  • Experience building generative AI applications, including retrieval-augmented generation, multi-agent systems, Text2SQL, and fine-tuning, using tools such as Hugging Face, LangChain, and DSPy.
  • Expertise deploying production-grade generative AI applications, including evaluation and optimization.
  • Extensive hands-on industry data science experience using common machine learning and data science tools such as pandas, scikit-learn, and PyTorch.
  • Experience building production-grade machine learning deployments on AWS, Azure, or Google Cloud Platform.
  • A 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.
  • Ability and willingness to travel to see customers once every 4–8 weeks as needed.

Responsibilities

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

Desired Qualifications

  • Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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