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