Senior AI/ML Engineer (AWS)

Job 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