Senior MLOps Engineer

Job Brief

Role Objective. Ensure all production machine learning models are reliable, monitored, retrainable, and auditable. This role exists to prevent silent model decay and reduce operational load on Data Science teams by architecting robust automated deployment and monitoring frameworks.

Role Description. The Senior MLOps Engineer handles the technical implementation of production‑grade Machine Learning systems. This involves architecting scalable pipelines, managing real‑time inference services, and ensuring robust integration within cloud environments. The focus is on the transition of models from experimentation to high‑throughput services, ensuring every solution is high‑performing, secure, and engineered to solve complex organizational challenges at scale.

VentureDive Overview

Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest‑growing technology company in the region that develops and ...