Key Duties & Responsibilities

Develop and maintain AI/ML, GenAI, and intelligent automation solutions for manufacturing and business use cases. Build AI applications using AWS Bedrock, LLMs, RAG, vector databases, AI agents, and workflow orchestration platforms. Design and optimize data pipelines, APIs, and backend services supporting structured, semi-structured and unstructured data. Develop anomaly detection, predictive analytics, forecasting, recommendation, and classification models using Python and modern ML frameworks. Create intelligent assistants, chatbots, and agentic workflows that integrate enterprise knowledge and operational systems. Collaborate with data engineers, MLOps engineers, software developers, manufacturing SMEs, and business stakeholders to deliver end-to-end solutions. Support deployment, monitoring, testing, documentation, and continuous improvement of AI platforms and applications. Contribute to cloud-native, event-driven, and real-time analyt...