Parallel Systems is looking for an experienced MLOps/ML Infrastructure Engineer to lead the design and development of scalable systems for autonomous battery-electric rail vehicles. The role focuses on creating robust ML infrastructure that supports model training and deployment. Ideal candidates will have over 5 years of experience building reliable systems, an educational background in Computer Science, and proficiency with MLOps tools like MLflow and Kubernetes. This position offers a target salary range of $150,000 - $240,000 USD and can be remote.
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Remote MLOps Architect for Autonomous ML Infrastructure in Location not specified at Unknown Company
This position is listed as full time and able to be worked remotely.