Proven track record in operationalizing ml models at scale
The role focuses on designing, developing, and improving software solutions that provide business and technology capabilities for customers and colleagues
Job Summary
The role focuses on designing, developing, and improving software solutions that provide business and technology capabilities for customers and colleagues.
Candidates will lead MLOps initiatives including building model deployment pipelines, registries, and monitoring frameworks using tools like SageMaker and Databricks.
The position requires managing significant sub-functions, influencing strategic decisions, and fostering a culture of technical excellence through mentorship and code quality.
Matching Summary
The role focuses on designing, developing, and improving software solutions that provide business and technology capabilities for customers and colleagues.
Skills & Requirements
Must-have
Strong Python engineering background
Deep experience with SageMaker Databricks MLflow
Proven track record in operationalizing ML models at scale
Nice-to-have
Experience with Kubernetes EKS or on-prem environments
Familiarity with Airflow and Step Functions orchestration
Knowledge of Langfuse for evaluation and tracing
Key Requirements
Extensive knowledge of model governance and compliance
Senior level stakeholder negotiation skills
Demonstrated leadership behaviors aligned with LEAD framework