Proven track record operationalizing ml models at scale
The role involves designing and delivering high-quality software solutions that provide critical business and technology capabilities for customers and colleagues
Job Summary
The role involves designing and delivering high-quality software solutions that provide critical business and technology capabilities for customers and colleagues.
Candidates will lead MLOps initiatives by building model deployment pipelines, registries, and monitoring frameworks using tools like SageMaker and Databricks.
This position requires expert advice to senior management to influence strategic decisions while ensuring strict adherence to security and regulatory standards.
Matching Summary
The role involves designing and delivering high-quality software solutions that provide critical business and technology capabilities for customers and colleagues.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Strong Python engineering background
Deep experience with SageMaker Databricks MLflow
Proven track record operationalizing ML models at scale
Knowledge of model governance compliance risk management
Hands-on delivery of production-grade Python code
Nice-to-have
Familiarity with feature stores and observability tools
Experience with Kubernetes EKS or on-prem environments
Background in mentoring engineers on best practices
Ability to influence senior functional management decisions
Key Requirements
Extensive knowledge of industry theories and practices
Management authority for significant sub-function resourcing
Demonstrated ability to negotiate with senior stakeholders