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Freelance MLOps Engineer

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Questions

How do you ensure reproducibility and tracking in MLOps workflows? Specifically, what practices and tools do you use for versioning models, data pipelines, and datasets? *

What is your approach to implementing continuous delivery for production-ready model serving? Can you describe your process, tools, and strategies for seamless deployment? *

How do you manage production data annotations to effectively monitor model drift? Additionally, how do you incorporate this data to enable active learning and retraining pipelines? *

When working on cloud platforms, how do you manage and track training jobs and experiments? What strategies do you use to efficiently iterate through models and approaches while minimizing waste and maintaining comprehensive records? *

What strategies and tools do you leverage to automate workflows in MLOps? How do you ensure that automation improves efficiency without compromising flexibility or control? *

Can you tell us about a recent project where you worked as an MLOps Engineer? *

Do you have experience managing freelance projects? How do you organize your work to meet deadlines and requirements? *

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Freelance
Part time
Remote
Product development

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Freelance MLOps Engineer

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