Description

You will develop production-grade Python code and deploy machine learning models within AWS environments.

Responsibilities

• Develop core logic and ML integration using Python.
• Build, train, and deploy ML models into production-ready hosted environments using SageMaker.
• Design and maintain scalable REST APIs using Flask or FastAPI.
• Implement CI/CD best practices to support model deployment and software delivery.
• Collaborate with internal teams to integrate models into existing codebases.

Required Skills

• 5+ years of professional experience in Python development.
• Experience utilizing AWS SageMaker to build and deploy ML models.
• Strong understanding of Python design patterns and software engineering best practices.
• Experience building and documenting scalable REST APIs.
• Proficiency with Python web frameworks such as Flask or FastAPI.
• Working knowledge of AWS services including EMR, S3, and OpenSearch.
• Experience with AWS DevOps and infrastructure.
• Familiarity with Git, Jenkins, and Azure DevOps.
• Ability to work with CI/CD pipelines.

Key Skills

Education

Any Graduate