Databricks

1 month ago

AI Engineer - FDE (Forward Deployed Engineer)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Join the Databricks AI Forward Deployed Engineering team to design, implement, and productionize GenAI solutions for customers. You’ll work with cutting-edge tools (HuggingFace, LangChain, DSPy), own end-to-end deployments, advise customers across domains, present at conferences, and collaborate with product and engineering to shape the AI roadmap and customer impact.

Location: Seoul

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Develop cutting-edge GenAI solutions, incorporating 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

Travel: Low travel

Key Requirements

•Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
•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
•Extensive hands-on industry data science experience, leveraging pandas, scikit-learn, PyTorch, etc.
•Experience building production-grade ML deployments on AWS, Azure, or GCP

Experience:AIGenAIData Science

Education:Master's

Skills:CommunicationCollaborationPresentationTeamworkProblem-solving

Languages:English

Tech Stack:HuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCPDatabricks Intelligence PlatformApache Spark

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 month ago

AI Engineer - FDE (Forward Deployed Engineer)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Seoul

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Develop cutting-edge GenAI solutions, incorporating 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

Travel: Low travel

Key Requirements

•Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
•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
•Extensive hands-on industry data science experience, leveraging pandas, scikit-learn, PyTorch, etc.
•Experience building production-grade ML deployments on AWS, Azure, or GCP

Experience:AIGenAIData Science

Education:Master's

Skills:CommunicationCollaborationPresentationTeamworkProblem-solving

Languages:English

Tech Stack:HuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCPDatabricks Intelligence PlatformApache Spark

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn