MLOps Engineer
Education Requirements:
Bachelor’s degree in computer science, engineering, or a related field, or equivalent experience
Experience Requirements:
3+ years of relevant experience
Other Requirements:
Experience with scalable training-inference pipelines
Familiarity with AWS, GCP, Azure, etc.
Proficiency in Python, Bash, or PowerShell
Proficiency in frameworks like PyTorch or TensorFlow
Experience with Docker and Kubernetes
Responsibilities:
GPU Programming
Cloud Supercomputing
Host Management
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