Build production machine learning solutions with Python and SQL at Zurich Canada, supporting scalable AI engineering across multiple experience levels.
Machine Learning Engineers design, develop, and operationalize secure, reliable solutions within a modern cloud data and AI ecosystem. Applied AI work includes predictive modeling, feature engineering, model evaluation, inference optimization, and production monitoring. Candidates may be Junior, Intermediate, or Senior, based on experience and technical depth.
Key Responsibilities:
- Build and productionize classification, regression, forecasting, and clustering models
- Develop feature pipelines and training validation testing processes
- Evaluate models and optimize batch or real time inference
- Monitor data quality, performance drift, and production issues
- Document assumptions, limitations, versions, data references, and approvals
Requirements:
- Python and SQL skills
- Understanding of machine learning concepts and development lifecycle
- Software engineering fundamentals, including Git, APIs, testing, and CI/CD
- Experience with data processing and analytical workloads
- Cloud based development experience and production readiness understanding
Apply machine learning, feature engineering, and model evaluation skills to production-ready AI solutions at Zurich Canada.
Machine Learning Engineer Applied AI in Alton employer: Zurich Insurance
Alectra is an exceptional employer that fosters a culture of collaboration and innovation, making it an ideal place for professionals looking to make a significant impact in the energy sector. With a focus on employee growth and development, Alectra offers numerous opportunities for advancement within its dynamic work environment in Ontario, where you can contribute to shaping the future of electricity distribution while enjoying a supportive and inclusive workplace. The company's commitment to safety and reliability ensures that you will be part of a team dedicated to delivering high-quality service to the community.
