MLOps Engineer

Loopio is seeking a skilled MLOps Engineer to scale and productionize their machine learning systems. This role is crucial in enabling their AI/ML roadmap, from intelligent search to document automation and agent copilots. The position offers a unique opportunity to work at the intersection of ML, engineering, and product development.

The ideal candidate will build and maintain ML pipelines, handle model deployments, implement monitoring systems, and work within CI/CD frameworks. They'll collaborate closely with ML Engineers, Data Scientists, and Backend Engineers to deliver high-impact ML models efficiently and at scale.

Loopio offers a remote-first work environment with established hubs in Canada, London, and India. They provide comprehensive benefits including professional development allowances, health and wellness benefits, and work-from-home support. The company emphasizes a supportive culture with regular feedback, team celebrations, and active Employee Resource Groups.

Key technical requirements include 2+ years of MLOps experience, strong Python skills, and familiarity with cloud platforms and containerization tools. The role demands both technical expertise and strong collaborative abilities, making it perfect for someone passionate about production ML systems and eager to work in a fast-moving, innovative environment.

This position offers significant growth potential and the chance to make a meaningful impact on business-critical ML systems. Loopio maintains a strong commitment to diversity and inclusion, encouraging applications from candidates of all backgrounds, even if they don't meet every listed qualification.