Staff Platform Engineer - ML Ops
Core
Design and evolve AWS-based ML platform capabilities to enable Data Scientists and engineers to safely productionize machine learning solutions at scale.
Role type
Staff Platform Engineer (MLOps)
Builds
Self-service, secure, and scalable ML platforms including training pipelines, model registry, and deployment infrastructure
Domain
Financial services / Machine Learning Operations
Deliverable
production ML models
Required skills
AWS (SageMaker, S3, IAM, Glue, EMR), Python, Infrastructure as Code (Terraform/CDK), CI/CD, Docker, PySpark, ML lifecycle management, Security & Compliance
Preferred skills
Generative AI / LLM workloads experience
Technologies
AWS SageMaker, Terraform, CDK, CloudFormation, Docker, PySpark, MLflow
Responsibilities
Provide technical leadership for ML platform engineering; Own the paved road from experiment to production; Design reusable platform capabilities and frameworks; Engineer AWS-based ML capabilities across the lifecycle; Build IaC, CI/CD, and automation patterns; Engineer reproducibility and audit-defensibility; Partner with Data Scientists to translate workflows into platform capabilities
Seniority
Staff, hands-on IC with technical leadership
