This role is responsible for building tools and frameworks that enable the organization to scale AI, ML, and data science capabilities efficiently through automation and reusability
Job Summary
This role is responsible for building tools and frameworks that enable the organization to scale AI, ML, and data science capabilities efficiently through automation and reusability.
The position requires designing MLOps infrastructure to streamline the model development, validation, and deployment lifecycle while reducing technical debt.
Compensation includes a performance-based cash incentive, eligibility for annual equity awards, and a comprehensive benefits package with health and 401(k) matching.
Matching Summary
This role is responsible for building tools and frameworks that enable the organization to scale AI, ML, and data science capabilities efficiently through automation and reusability.
Salary
Base: $145,600 - $270,400 per year; Bonus/Equity: Performance-based cash incentive and annual equity awards eligible; Benefits: Comprehensive health, life, disability, 401(k) match, and generous time off
Skills & Requirements
Must-have
Workflow orchestration tools Airflow dbt Azure Data Factory