Platform Engineer

Platform Engineer | Hybrid 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.