MLOps Engineer

Responsibilities

• The ModelOps team makes deploying machine learning and GenAI models easy. With tools like AWS SageMaker, Lambda, Code Pipeline, and many other AWS services we serve our client by producing a pipeline to deploy ML models for data scientists throughout the organization, while enforcing controls through automation.
• Provide expert level system analysis, design, development, and implementation of MLOps platform. Ensure that expected functionalities and performance levels are achieved.

Qualifications

• AWS Core Services: SageMaker, Lambda, Step Function, CloudFormation, IAM, S3, CloudWatch, Glue etc.
• Scripting & Programming Languages: Python, AWS SDK, Boto3
• Code pipeline tools: AWS CodeCommit, GitHub, BitBucket, Bamboo etc
• Familiar with Machine Learning and GenAI Familiar with AWS Analytics and AI/ML services
• Familiarity with containerization tools like Docker, Kubernetes