A premier growth and venture capital firm is seeking a Software Engineer, Machine Learning Operations (MLOps), to play a vital role in advancing their proprietary data and analytics platform. The firm partners with innovative companies across diverse sectors and sets itself apart by developing in‑house technology that drives investment insights. You’ll collaborate closely with both data scientists and investment professionals to rethink how intelligence and operational efficiency are generated.
You’ll develop robust, scalable machine learning systems, focusing on architecting, deploying, and overseeing infrastructure for model training, deployment, and continuous monitoring. Their tech stack includes Python, PyTorch, Kubernetes, GCP, Terraform, and BigQuery. This is an ideal position for hands‑on engineers passionate about building impactful solutions at scale, eager to work at the intersection of machine learning, data, and high‑stakes business decision‑making, within a collaborative, cutting‑edge environment.
Must be local to the Chicago area as this is hybrid.
You will receive the following benefits:
Applicants must be currently authorized to work in the US on a full‑time basis now and in the future.
Machine Learning Engineer Operations Engineer • Chicago, IL, United States
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