Job Description

Senior Machine Learning Operations Engineer

Job Summary:

This is a mid-level role on the Innovation Analytics & AIteam, responsible for managing the full machine learning lifecycle, including model deployment, versioning, and performance monitoring, to ensure the reliability and scalability of production models. This role collaborates with Solution Architects, data scientists, and cross-functional teams to design and implement robust Lops pipelines and infrastructure aligned with enterprise architecture. The role applies design patterns and engineering best practices to build maintainable, testable, and extensible systems, while integrating structured and unstructured data sources using tools like Databricks, MLFlow, Azure ML, and CI/CD pipelines. This position supports operational excellence, leads innovation efforts, and mentors junior team members to promote modern MLOps practices, continuous delivery, and technical excellence. Se...

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