We are seeking an AWS ML Cloud Engineer to design, deploy, and optimize cloud-native machine learning systems. The role involves building pipelines, integrating models, and ensuring data quality. The ideal candidate will possess a blend of statistical analysis, coding, and DevOps skills, with a focus on scalability and security.
Requirements
- Design and productionize cloud ML pipelines (SageMaker, Step Functions, EKS)
- Integrate foundation models via Bedrock and Anthropic LLM APIs
- Optimize and extend existing ML libraries / frameworks for multi-region, multi-tenant workloads
- Partner cross-functionally with data scientists, data engineers, architects, and security teams
- Detect and mitigate data-distribution drift
- Stay current on AWS, MLOps, and generative-AI innovations