MLOps Engineer

Role Overview

TheMLOpsEngineer at Precision AI is responsible for operationalizing machine learning systems end-to-end, from model packaging and deployment to monitoring, reliability, and lifecycle management in production.

This role focuses on building robust, automated ML infrastructure that enables our AI teams to deploy, version, monitor, and continuously improve models used in real-world agricultural operations. You’ll work closely with AI/ML researchers, robotics engineers, and embedded systems teams to ensure models move smoothly from experimentation into reliable production systems.

While this is a core MLOps role, Precision AI operates in a physical, edge‑deployed environment (UAVs and field hardware), so some responsibilities extend beyond typical cloud‑only MLOps work.

This role is hybrid out of our Calgary office due to hands‑on system integration and testing requirements.

Key Responsibilities

ML Platform & ...