Azure Security Engineer

Alaska, Alaska, United StatesOnsiteFull TimePosted 2 months agoVisa sponsorship available

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Role summary

Seeking a passionate Azure AI/ML Ops engineer to build data platforms and pipelines for advanced analytics. This role focuses on automating the deployment of machine learning models, transforming prototypes into scalable, efficient, and practical applications. The ideal candidate will leverage expertise in machine learning frameworks and software engineering to integrate predictive models into daily operations, with a minimum of 6 years of end-to-end ML project experience, including the last 18 months specifically in MLOps.

Minimum total of 6+ years of experience in managing machine learning projects end-to-end , with the last 18 months focused on MLOps We are seeking a passionate Azure AI/ML Ops engineer to create data platform and pipeline to enable advanced analytics. AI/MLOPS Engineers are the crafters of automation, turning data-driven models into practical applications. They take the prototypes developed by Data Scientists and fine-tune them for scalability, efficiency, and real-world deployment. Their expertise in machine learning frameworks and software engineering ensures that the predictive power of models seamlessly integrates into everyday operations.

For applications and inquiries, contact: hirings@openkyber.com

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