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 from experimentation to deployment.
Role type
Staff Platform Engineer (MLOps)
Builds
Self-service, secure, and scalable ML platforms including training pipelines, model registry, and deployment infrastructure for financial crime detection.
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, PySpark, MLflow, Docker
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 and automation patterns with security controls; engineer reproducibility and audit-defensibility; partner with Data Scientists to translate workflows into scalable capabilities.
Seniority
Staff, technical leadership & architecture
