AI/ML Engineering Lead — GenAI, MLOps Azure
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Science Manager
Job Description & How to Apply Below
Protective is transforming its software approach to a product-led model, focusing on ML/GenAI within the Databricks Lakehouse on Azure. The AI/ML Engineering Lead role drives the end-to-end ML lifecycle, from experimentation to governed production, mentoring teammates and aligning with product and risk teams.
You will own MLOps foundations, ensure reliability, monitor costs, and collaborate with Model Risk, Data Governance, and Security to meet regulatory expectations.
We would love to welcome a new AI/ML Engineering Lead — GenAI, MLOps on Azure to our team in NE, United States.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the AI/ML Engineering Lead — GenAI, MLOps on Azure role in the description above.
We appreciate your interest in this position.
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