MLOps Engineer - Remote

Overview

As an MLOps Engineer at Protex AI, you’ll design, scale, and optimise our computer vision pipelines to serve thousands of clients, owning the infrastructure that powers our ML models in production.

In Short

• Design and optimise computer vision pipelines.
• Own the infrastructure for ML models in production.
• Automate workflows and improve observability.
• Ensure reliable, cost-efficient deployment at scale.
• 3–5+ years of experience in related roles.
• Strong coding skills in Python.
• Experience with CI/CD pipelines.
• Hands-on experience with Docker and AWS.
• Familiarity with infrastructure-as-code tools.
• Experience in building observability systems for ML.

Requirements

• 3–5+ years of experience in DevOps, MLOps, or ML engineering roles.
• Experience automating ML workflows using CI/CD pipelines.
• Strong coding skills in Python and experience with unit and integration tests.
• Hands-on experience with Docker and AWS infrastructure.
• Familiarity with infrastructure-as-code tools.
• Experience building observability systems for ML.
• Understanding of model versioning and testing best practices.
• Awareness of cloud cost optimisation practices.
• Experience supporting a production ML environment.
• Collaborative skills across cross-functional teams.

Benefits

• Inclusive and equitable workplace.
• Opportunity to work on cutting-edge AI technology.
• Collaborate with industry leaders.
• Potential for professional growth and development.
• Work in a remote-first environment.