Enterprise ML Operations and Engineering Lead

5 days ago


Austin, Texas, United States H-E-B Full time
About the Role

We are looking for an Enterprise ML Operations and Engineering Lead to join our team. In this role, you will collaborate closely with data scientists, data engineers, and platform engineers to establish CI/CD and infrastructure-as-code frameworks, develop reusable pipelining libraries, design scalable, highly-fault-tolerant architectures, and implement model observation and performance monitoring.

Key Responsibilities
- Optimize machine learning models for production efficiency,
- Cost-optimize the solution to maximize its ROI to the business,
- Build MLOps solutions for a wide array of deeply interesting problem domains,
- Collaborate with data scientists, data engineers, and platform engineers to design, build, and deploy ML pipeline tools and frameworks.

The ideal candidate will have 5+ years of experience as an MLOps engineer or a DevOps engineer with experience building, training, and deploying ML models. A solid understanding of deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.) is also required.

Estimated Salary: $220,000 - $300,000 per year

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