Description

You will develop and deploy production-ready Machine Learning and Generative AI solutions on AWS.

This role is on-site.

Responsibilities

• Build ML pipelines for model development, evaluation, inference, and optimization.
• Design and develop LLM-based applications, AI agents, and automated workflows.
• Create REST APIs for model serving and AI application integration.
• Implement AWS serverless solutions using Lambda, Glue, Step Functions, and EventBridge.
• Manage MLOps workflows for model deployment, monitoring, and updates.

Required Skills

• 5-8 years of experience in AI/ML Engineering and production model delivery.
• Strong experience in Machine Learning model development, evaluation, and deployment.
• Hands-on experience with Generative AI, LLM applications, and AI agents.
• Experience with AWS serverless services including Lambda, Glue, Step Functions, and EventBridge.
• Experience in REST API development and model-serving infrastructure.
• Knowledge of MLOps practices, CI/CD workflows, and production deployments.
• Strong programming skills in Python and SQL.

Preferred Skills

• Experience building and maintaining CI/CD pipelines using Bitbucket.
• Ability to optimize AI solutions for performance, scalability, and reliability.

Key Skills

Education

Any Graduate