Platform Engineer
3B Staffing LLC
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
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.
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.
- 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.
Vacancy posted 4 days ago
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