Databricks

2 months 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: 2 hours agoStatus: Live

Job Summary

Develop GenAI solutions and production deployments, serving as a trusted technical advisor to customers across domains. Present at conferences, influence product roadmaps, and collaborate with cross-functional teams to translate AI research into scalable customer outcomes.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Develop cutting-edge GenAI solutions and production-grade applications for customers
•Own production rollouts of consumer and internally facing GenAI apps
•Serve as a trusted technical advisor to customers across domains
•Present at conferences (e.g., Data + AI Summit) and contribute as a thought leader
•Collaborate cross-functionally with product and engineering to influence priorities and the roadmap

Travel: Low travel

Key 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
•Extensive years of hands-on industry data science experience, leveraging common ML/data tools (e.g., pandas, scikit-learn, PyTorch)
•Experience building production-grade ML deployments on AWS, Azure, or GCP
•Graduate degree in a quantitative discipline or equivalent practical experience

Experience:GenaiAiData science

Education:Master's

Skills:CommunicationCollaborationPresentation

Languages:English

Tech Stack:HuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCPDatabricksApache 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

2 months 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: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Develop cutting-edge GenAI solutions and production-grade applications for customers
•Own production rollouts of consumer and internally facing GenAI apps
•Serve as a trusted technical advisor to customers across domains
•Present at conferences (e.g., Data + AI Summit) and contribute as a thought leader
•Collaborate cross-functionally with product and engineering to influence priorities and the roadmap

Travel: Low travel

Key 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
•Extensive years of hands-on industry data science experience, leveraging common ML/data tools (e.g., pandas, scikit-learn, PyTorch)
•Experience building production-grade ML deployments on AWS, Azure, or GCP
•Graduate degree in a quantitative discipline or equivalent practical experience

Experience:GenaiAiData science

Education:Master's

Skills:CommunicationCollaborationPresentation

Languages:English

Tech Stack:HuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCPDatabricksApache 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