Principal Platform Engineer, Machine Learning

RAVL is a boutique technology advisory and engineering firm focused on helping financial services clients realize measurable returns from technology investments. The Principal Platform Engineer, Machine Learning will architect and lead scalable ML platforms on Azure Databricks, develop MLOps capabilities, integrate enterprise systems, and support end-to-end model lifecycle management. The role also provides technical leadership, establishes engineering standards, and mentors engineers.

Responsibilities:

• Architect and lead development of ML platforms on Azure Databricks
• Design systems for training, feature engineering, model serving, and monitoring
• Build and standardize MLOps pipelines (CI/CD for ML, model versioning, deployment workflows)
• Extend Databricks with custom services, APIs, and integrations
• Integrate with enterprise systems (IAM, secrets, observability, governance)
• Optimize performance, scalability, and cost efficiency of ML workloads
• Define platform standards and engineering best practices
• Mentor engineers and guide technical direction