Principal ML Ops Engineer

Define and implement ML - Ops strategies, workflows, and tooling to streamline model development, deployment, monitoring, and retraining. Build robust CI/ CD pipelines for machine learning projects. Establish model governance and compliance standards, including documentation, monitoring, and auditability. Collaborate with data scientists, engineers, and IT to ensure scalable, secure, and resilient ML infrastructure. Oversee the integration, optimization, and cost management of enterprise-approved LLM APIs. Serve as the platform leader and administrator for Visions Dataiku instance, scaling adoption and ensuring optimal performance. Develop and maintain governance frameworks, role-based access controls, and project management conventions for platform users. Organize training programs, office hours, and enablement sessions for new and advanced users. Partner with the Dataiku vendor and internal stakeholders to align platform roadmaps with organizational priorities. Perform other related...Engineer, Data Science, Principal, Monitoring, Data Scientist, Project Management, Manufacturing, Technology

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