Job Description
We are seeking an experienced MLOps Engineer to join our DevOps and Infrastructure Engineering team. This role is crucial for operationalizing, scaling, and maintaining our Artificial Intelligence (AI) and Machine Learning (ML) applications. The successful candidate will leverage their expertise to ensure seamless, scalable, and reliable deployment and management of AI/ML models, working closely with data scientists and ML engineers. This position requires strong proficiency in Python, hands-on experience with Ray Tune for hyperparameter optimization, and MLflow for experiment tracking and model lifecycle management.
Key Responsibilities:
ML Pipeline Development & Automation: Design, build, and maintain robust and scalable end-to-end ML pipelines for data ingestion, preprocessing, model training, validation, and deployment.
CI/CD for ML: Implement and manage Continuous Integration/Continuous Delivery (CI/CD) pipelines specifically ...
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