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About the role
Key responsibilities & impact- Be the go-to authority on how our data community adopts and maximizes Databricks
- Set standards, build guidance, and cultivate a thriving community of data scientists
- Champion Databricks capabilities across all data science teams
- Organize and deliver internal community trainings and hands-on workshops
- Build and nurture a community of practice around AI/ML
- Present at internal tech forums and represent the platform vision to senior leadership
- Define group-wide guidelines for applying generative AI vs traditional ML approaches
- Establish MLOps and AI Ops standards covering model lifecycle, monitoring, governance, and deployment patterns
- Produce high-quality technical blueprints, reference architectures, and step-by-step implementation guides
- Act as a bridge between platform team and data science community
Requirements
What you’ll need- 7+ years of experience in data science, ML engineering, or AI platform roles
- Demonstrated hands-on expertise with Databricks in a production environment
- Proven track record of driving technology adoption at scale and enablement experience is a strong plus
- Experience defining MLOps or AI Ops practices across multiple teams or business units
Benefits
Comp & perks- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencemachine learningMLOpsAI Opsgenerative AItechnical blueprintsreference architecturesimplementation guidesmodel lifecyclemonitoring
Soft Skills
community buildingtrainingpresentationleadershipguidancecollaborationcommunicationenablementstandard settingadvocacy