Cloud AI Infrastructure Specialist

13 godzin temu


Warszawa, Mazovia, Polska hubQuest Pełny etat
Key Responsibilities and Requirements

In this role, you will have the opportunity to work on various aspects of MLOps engineering, including designing and implementing cloud infrastructure, building and optimizing automated pipelines for running, monitoring, and retraining data science models, and managing the life cycle of deployed ML applications. To be successful in this role, you will need to have a strong background in operationalizing Data Science projects using Azure, experience in deploying and managing ML models in production environments, and proficiency in Python, with experience in Django and FastAPI being a plus. Additionally, you will need to have expertise in DevOps tools and methodologies, such as Docker, Kubernetes, and CI/CD pipelines, experience with Azure DevOps, including CI/CD pipelines and releases, and proficiency in Git, with a focus on Trunk-based development.

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