Description

Top Skills' Details

5+ years of professional experience in Python development (80% of the role)
Strong ML model hosting experience + Experience utilizing SageMaker to build, train, and deploy ML models into a production-ready hosted environment (20% of the role)
Knowledge of AWS services (EMR, S3, OpenSearch etc.) and AWS DevOps
Familiarity with CI/CD best practices and experience with Jenkins, Git, and Azure DevOps

Nice to haves: Experience with EKS and Helm Charts.

Software Engineering Requirements

3+ years of professional experience in Python development
Strong understanding of Python best practices and design patterns
Experience building scalable, production-ready REST APIs
Knowledge of API design, testing and documentation
Experience with Python web frameworks like Flask and FastAPI
Familiarity with AWS services and infrastructure
Experience with CI/CD best practices and familiarity with Jenkins, Git, and Azure DevOps
Ability to quickly ramp up and contribute to an existing codebase
Excellent communication skills and ability to work closely with internal te
 

Key Skills
Education

Any Graduate

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