This role focuses on building, deploying, and operating machine learning models for self-healing infrastructure management systems. It involves designing, training, and deploying models for anomaly detection, forecasting, and predictive analytics, as well as building near-real-time inference pipelines and closed-loop, event-driven systems that trigger automated remediation actions. The role owns the full ML lifecycle and integrates AI/ML-driven insights into operational tools and workflows.

Lead Machine Learning Engineer for Disney's Ad Platform Engineering, focusing on designing, building, and operating production ML systems for advertising use cases like inventory forecasting, pricing, targeting, and ad delivery. The role involves technical leadership, mentoring engineers, and ensuring ML solutions are reliable, performant, and cost-efficient in a low-latency, high-throughput environment.