Platform Engineer

Platform Engineer | Remote in Canada

About the Role

We are looking for a Platform Engineer with Machine Learning experience to drive the full lifecycle of machine learning models, from development to deployment and ongoing monitoring. This role requires strong experience in CI/CD workflows, model lifecycle management, and cloud-agnostic solutions. The ideal candidate will work on building and automating ML workflows, ensuring seamless integration and performance of models over time.

Responsibilities

• Design, build, and manage CI/CD workflows for machine learning models.
• Develop and implement model lifecycle workflows, including training, deployment, and monitoring.
• Automate model drift detection and manage re-training cycles to maintain accuracy.
• Ensure cloud-agnostic deployment strategies and integrate with 3rd-party model lifecycles.
• Build self-service capabilities to streamline ML model management.
• Work with trained models, integrate with REST APIs, and oversee model performance monitoring over time.
• Manage and release artifacts related to machine learning models.
• Collaborate with data scientists, engineers, and stakeholders to enhance ML infrastructure.

Requirements

• Strong knowledge of machine learning principles and best practices.
• Experience with CI/CD pipelines, GitHub Actions, and automated deployment strategies.
• Hands-on experience with model lifecycle management, including retraining and drift detection.
• Expertise in cloud-agnostic ML deployment solutions.
• Familiarity with REST APIs and model serving architectures.
• Knowledge of monitoring tools for tracking model performance over time.
• Experience working with third-party models and self-service ML platforms.

This is a great opportunity for an ML Engineer who enjoys building scalable, automated workflows and ensuring machine learning models remain performant and reliable over time.