Description

You will design, develop, and deploy machine learning models and AI infrastructure to drive automated data insights and conversational interfaces.

Responsibilities

• Design, develop, and maintain ML models and AI infrastructure.
• Integrate ML models into production workflows through collaboration with Product and Data Engineering teams.
• Deploy and monitor models in real-time using AWS SageMaker and Bedrock.
• Manage CI/CD pipelines to ensure efficient model deployment.
• Optimize model performance and troubleshoot infrastructure scalability or efficiency issues.

Required Skills

• 5+ years of professional experience with Python.
• Hands-on experience with MLOps.
• Expertise in data engineering and ETL processes.
• Proficiency with AWS services, specifically SageMaker and Bedrock.
• Experience with Large Language Models (LLMs) and prompt engineering.
• Ability to set up and manage Docker and CI/CD pipelines.
• Experience with model performance monitoring and optimization techniques.

Key Skills

Education

Any Graduate