AWS Cloud 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

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