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
