Responsibilities: Owns the end-to-end design, development, and execution of complex predictive modeling initiatives, from problem formulation through validation, deployment readiness, and ongoing risk assessment. Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support
Responsibilities: Owns the end-to-end design, development, and execution of complex predictive modeling initiatives, from problem formulation through validation, deployment readiness, and ongoing risk assessment. Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support
Responsibilities Design, prototype, and implement agentic systems for IT automation and resilience using LLMs and agent frameworks Develop multi-agent workflows and coordinate agent collaboration for complex tasks. Build and optimize retrieval-augmented generation pipelines for knowledge-driven agents.
Core Responsibilities Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. Engineer scalable training, inference, and retraining workflows using AWS SageMaker. Develop and maintain feature engineering, feature storage, and data preparation pipelines.