• Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products. • Architect end-to-end ML systems—from data ingestion and feature engineering to model training, deployment, and monitoring. • Mentor a growing team of ML and data engineers, instilling best practices for experimentation, evaluation, and model lifecycle management. • Partner with product and engineering leaders to align AI roadmap with customer needs and business goals. • Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining. • Drive performance optimization through techniques like quantization, distillation, and scalable inference serving. • Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence. • Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security.