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Role: MLOps Platform Engineer
Experience: +5 years
Overview: We are seeking a skilled MLOps Platform Engineer to build and maintain a robust platform for the entire Machine Learning (ML) lifecycle. This role involves automating ML model training, testing, deployment, and monitoring, integrating seamlessly with our existing infrastructure to accelerate ML innovation.
Key responsibilities:
CI/CD for ML: Develop and manage CI/CD pipelines for ML model code and infrastructure, covering unit, integration, and deployment to all environments.
Automated ML Training: Design and implement pipelines for repeatable model training, automatic sweeps, data processing, and hyperparameter optimization.
Include scheduling, queuing, and cost monitoring for training runs.
Support training on cloud and on-premise GPU resources.
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