Advanced Analytics Machine Learning Role
Definity
About the role
About
Shape innovative ML solutions as a Machine Learning Engineering Professional at our Waterloo, Ontario location, focusing on customer experience and business growth. Collaborate closely with cross-functional teams to ensure seamless product integration.
You will be instrumental in the deployment and operationalization of machine learning products, specializing in both batch and real-time environments. A university degree in a relevant discipline and over four years of industry experience are essential for this role. Your ability to monitor and maintain models will be key to sustaining their value to users and stakeholders.
Join a dynamic team to enhance customer journeys using machine learning technology.
Responsibilities
- Collaborate with stakeholders for ML product success
- Develop code with cloud-native technologies
- Maintain best practices for model monitoring
- Drive innovative ideas for process improvement
- Communicate effectively across technical and business teams
Requirements
- Minimum 4 years of ML pipeline development experience
- Proficient in Docker, Kubernetes, and CI/CD practices
- Strong communicator for business and technical audiences
- Knowledge of Google Cloud Platform (GCP) is a plus
- Relevant degree in Software Engineering or similar
Skills
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