Salary
💰 CA$108,000 - CA$214,000 per year
Tech Stack
DockerKubernetesScikit-Learn
About the role
- Transform experimental models into scalable, production-ready code
- Provide model optimization, versioning, and reproducibility
- Work with ML frameworks (e.g., LangChain, MLFlow, Scikit-learn, LangGraph)
- Work with Databricks
- Implement CI/CD pipelines for ML workflows
- Work with model deployment, monitoring and lifecycle management
- Containerization (Docker, Kubernetes) and orchestration tools
Requirements
- 4+ years’ experience in machine learning engineering
- Strong hands-on experience with ML frameworks (e.g., LangChain, MLFlow, Scikit-learn, LangGraph)
- Work experience with Databricks
- Experience deploying AI models into production environments
- Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
- Close cooperation with a customer
- Challenging tasks
- Competence development
- Ability to influence project technologies
- Team of professionals
- Dynamic environment with low level of bureaucracy
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learning engineeringmodel optimizationversioningreproducibilityML frameworksmodel deploymentmonitoringlifecycle managementcontainerizationorchestration
Soft skills
strong communication skillsability to explain technical concepts