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AI Engineer — ML Pipelines, AWS & Kubernetes

Remote • Posted Yesterday
Onsite Full Time IT & Technology

Crossing Hurdles is seeking a machine learning engineer to design, build and deploy robust ML models into production environments. You will implement end-to-end ML pipelines with CI/CD practices and utilize AWS services for scalable AI infrastructure.

Kubernetes will orchestrate containerized workloads to ensure high availability and scalability. You'll collaborate with data scientists, engineers, and researchers to translate complex problems into practical ML solutions, and you will evaluate

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