Key skills
GoAIMLGenerative AIMLOpsDatabricksLeadership
About this role
Role Overview
- 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
- 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
- Professional development opportunities