Staff MLOps Engineer | Remote Location, United States

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You may just be the right candidate for this or other roles. Bachelor's Degree In Computer Science/Engineering or equivalent experience Typically 8+ years   Proven experience working in a similar MLOps or DevOps role within a technical engineering environment. Typically 8+ years   Proficiency in programming languages such as Python, Java, or similar, along with experience with relevant ML frameworks (TensorFlow, PyTorch, etc.). Strong knowledge of containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). Experience with CI/CD pipelines, version control systems (Git), and automation tools. Solid understanding of machine learning concepts, model development, and deployment strategies. Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. 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