AVP, MLOps & Platform Engineering

A financial services institution is seeking a skilled MLOps Engineer to design and maintain ML pipelines, implement CI/CD practices tailored for ML workflows, and develop automation scripts. The ideal candidate will have 3-5 years of experience in MLOps or Machine Learning Engineering, with expert-level Python skills and strong knowledge of Docker and Kubernetes. This role involves collaboration with data scientists and engineers to ensure production readiness of ML solutions.

Competitive compensation offered for candidates with the necessary experience.
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