MLOps Engineer

Role Overview

The MLOpsEngineer 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 & Deployment

• Design, build, and maintain automated pipelines for model packaging, validation, and deployment
• Operationalize ML models for production APIs and services
• Support deployment targets across cloud, on‑prem, and edge environments
• Implement CI / CD workflows for ML systems, including automated testing and release processes
• Manage model promotion across environments (dev, staging, production)

Reliability, Monitoring & Governance

Data & Pipeline Management

AI and Computer Vision Expertise

Edge & Performance‑Aware Operations

Relevant Experience

What You Bring

Bonus

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