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Artificial Intelligence Operations and Security Professional
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The ML Ops Engineer will be responsible for designing scalable ML Ops pipelines to automate the training and deployment of machine learning models, building and maintaining pipelines for ML model integration and delivery, and working with the Riverside core IT team to support acquisition, installation, and maintenance of servers and storage.
The ideal candidate will have hands-on experience with cloud platforms (AWS, Azure, GCP) and container orchestration tools like Kubernetes and Docker, as well as proficiency in Python and familiarity with ML frameworks such as TensorFlow and PyTorch.
