Design, build, and maintain production-grade AI/ML systems supporting conversational AI, agentic workflows, and automation platforms.

Own the end-to-end ML lifecycle including problem formulation, data preparation, model development, evaluation, deployment, and monitoring.

Develop and optimize NLU models including intent classification, entity extraction, and dialogue orchestration for chat and voice platforms.

Contribute to agentic architectures such as routing logic, decision frameworks, tool calling, and multi-agent coordination.

Integrate ML models with cloud-native services (AWS/Azure), APIs, and enterprise platforms ensuring scalability and reliability.