Senior Machine Learning Engineer

Responsibilities

The Senior Machine Learning Engineer will design and implement MLOps infrastructure utilizing MLflow, Databricks Unity Catalogue, and AWS managed services, build feature store implementations and ML model versioning strategies, and assess AI readiness for Agentic BI implementations. They will design production ML systems supporting predictive analytics, classification, and optimization models, implement ML model deployment pipelines with automated training, validation, and deployment workflows, build model monitoring and performance management systems for production ML applications, and evaluate generative AI infrastructure requirements including semantic layers and automated analytics workflows. Furthermore, they will design ML pipeline automation strategies integrating feature engineering, model training, and deployment processes, implement real-time ML inference patterns supporting business-critical applications, and provide Enterprise MLOps expertise, strategic communication skills, and consult with executive leadership on ML strategies and AI readiness roadmaps.