Senior ML Ops Engineer

Overview

This role sits at the intersection of infrastructure engineering and machine learning. You will own the design and implementation of self-service deployment tooling, platform resilience and scaling infrastructure, and operational best practices that enable ML Engineers and Data Scientists to ship models and agents independently, with confidence. You will also be responsible for building and maintaining the developer platform that accelerates the work of ML practitioners across the organization.

This is a senior individual contributor role. You are expected to drive architectural decisions, mentor other engineers, define standards, and operate with a high degree of autonomy. You will collaborate closely with ML Engineers, Software Engineers, SRE, and Cloud Platform teams.

AI-First Engineering at Mimecast

Mimecast is an AI-First engineering organization. Our t...