Sr. Enterprise AI Platform Engineer
Core
Design, develop, and enhance processes, tools, and infrastructure to support Data Scientists in creating and deploying AI/ML solutions on the Enterprise Data Platform.
Role type
Senior Enterprise AI Platform Engineer
Builds
Automated infrastructure, data pipelines, and monitoring capabilities for AI/ML solutions
Domain
Healthcare technology / Cloud data platforms
Deliverable
production ML models
Required skills
Advanced data modeling, Cloud data platforms (Azure, Databricks), PySpark, SQL, DevOps, CI/CD, IaC, Infrastructure planning, Monitoring capabilities
Preferred skills
Advanced knowledge of relational database concepts, Data governance, Performance tuning, Root cause analysis
Technologies
Azure, Databricks, PySpark, Notebooks, GitHub
Responsibilities
Design and create complex pipelines and curated data structures; Coordinate with Data Scientists on DevOps, SecOps, and FinOps processes; Create monitoring capabilities to assess AI/ML solution accuracy; Lead teams to define design and development standards; Troubleshoot incidents and perform root cause analysis
Seniority
Senior, hands-on IC
