Description

Key Skills: Artificial Intelligence, Machine Learning, Generative AI, LLM, Python, SQL, AWS Lambda, AWS Glue, AWS Step Functions, EventBridge Scheduler, MLOps, CI/CD, REST APIs, Model Serving, AI Agents

Roles & Responsibilities

• Develop and deploy production-ready Machine Learning and Generative AI solutions.
• 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.
• Build and maintain CI/CD pipelines using Bitbucket.
• Optimize AI solutions for performance, scalability, and reliability.
• Collaborate with data scientists and engineering teams to deliver AI products.

Experience Required

• 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.
• Good problem-solving and analytical skills.

Education: Any Graduation

Key Skills

Education

Any Graduate