Platform Engineer | Remote in Canada About The Role Platform Engineer with Machine Learning experience CI/CD workflows, model lifecycle management, and cloud-agnostic solutions

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.

building scalable, automated workflows machine learning models remain performant and reliable

IT Accel

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