About the Role
Job Brief
Position: Senior MLOps Engineer
Role Objective
Ensure all production Machine Learning models are reliable, continuously monitored, retrainable, and fully 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 is responsible for the technical implementation of production-grade Machine Learning systems. This includes architecting scalable pipelines, managing real-time inference services, and ensuring seamless integration within cloud environments.
The role focuses on transitioning models from experimentation to high-throughput production services, ensuring each solution is secure, performant, and engineered to solve complex organizational challenges at scale.
Company Overview
NXT is a fast-growing technology organization...
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