Remote MLOps Engineer: Scale ML Pipelines & Infra

Opti Track is looking for a Machine Learning Engineer to design, automate, and scale MLOps systems while collaborating with engineering and research teams. This fully remote role involves creating automated training pipelines, building experimental infrastructure, and deploying high-performance machine learning models. Ideal candidates have 3+ years of experience with MLOps, strong Python skills, and familiarity with ML frameworks. Benefits include 75% employer-paid health insurance, generous PTO, and a supportive remote work environment.
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