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Due to federal contract requirements and the need for immediate client-site access, this role requires U.S. citizenship and either an active U.S. Government Secret security clearance or higher, or a previously held clearance that may be eligible for reinstatement or reactivation. Please select all U.S. Government security clearances or Public Trust designations you currently hold or have previously held. *

Provide details on:

  • Business use case and impact: Who used it, what changed, quantify if possible
  • Model architecture and selection: Why you chose it; if you selected from alternatives, name them and explain the trade-offs
  • Specific technique(s) you personally applied: Name the technique, not just the category (e.g., LoRA/PEFT, quantization, custom loss functions, reranking, chunking strategy, custom evaluation design)
  • Production ownership: How did you handle model versioning, monitoring, latency, or accuracy degradation? Give a concrete before/after metric (e.g., "reduced p99 latency from Xms to Yms")
  • Evaluation methodology: What did you measure beyond manual testing, and how?
  • Multi-agent or orchestration (if applicable): If this system involved multi-agent orchestration or human-in-the-loop workflows, describe the framework you used (e.g., LangGraph, MCP, custom) and how you handled state management and error recovery
  • Other recent GenAI work: Briefly list 1-2 other GenAI/LLM projects you've worked on in the past 18 months (project name, your role, timeline)

Provide details on:

  • Customer's business problem: What was the problem, and how did you scope the technical solution with them?
  • Technical recommendations: What specific recommendations did you make? (e.g., model architecture, training approach, evaluation strategy, deployment model)
  • Stakeholder communication: How did you explain complex ML concepts to non-technical stakeholders? Give a specific example
  • Outcome: What was the result? (e.g., production deployment, POC success, technical win) Quantify if possible
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If you selected a response to the prior question other than “none of the above,” please confirm whether any of the following also applies to you. Select all that apply. *
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As set forth in Databricks’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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