Senior MLOps Engineer

We are hiring a Senior MLOps Engineer in Noida for a team building on MLOps, machine learning, Reproducibility. 4-6 years of experience.

MLOps, machine learning, Reproducibility, with system design, CI/CD across the wider stack.

• 4-6 years with MLOps in production.
• Hands-on depth in machine learning, Reproducibility, enough to defend a decision you made in each, and name the one you rejected.
• Working familiarity with system design, CI/CD.
• You have designed something that outlived its first version, and you can say what you would do differently now.
• The ability to explain a technical decision to somebody who did not make it. Every round here includes it.

Not the focus of the interview, but part of the job. Teams ask about these, so be ready to talk about them:

• Git, branching and code review as a daily habit
• One cloud provider used in anger: AWS, Azure or GCP
• CI/CD: your work reaches an environment without somebody carrying it
• Python with PyTorch or TensorFlow, and a model you took past the notebook
• Docker, and GPU or accelerator compute on a cloud provider
• Data pipelines and feature stores, since most of the work is upstream of the model
• Evaluation you trust: offline metrics, and what they missed in production

Expect to be asked how you would approach a problem in each of the areas above, and why you would not take the obvious route. Then one level down on whichever answer was weakest.