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Senior Machine Learning Operations Engineer

2 months ago


Winnipeg, Manitoba, Canada Wawanesa Insurance Full time $130,000 - $170,000
About the Role

We are seeking a highly skilled Senior Machine Learning Operations Engineer to join our team at Wawanesa Insurance. As a key member of our organization, you will be responsible for designing, developing, deploying, and monitoring machine learning models to drive business growth and improve customer experiences.

Key Responsibilities
  • Design and Development: Collaborate with cross-functional teams to design and develop machine learning models that meet business requirements.
  • Deployment and Monitoring: Ensure the smooth deployment and monitoring of machine learning models in production environments.
  • Infrastructure and Data Pipelines: Work with software and data engineers to design and implement infrastructure and data pipelines that support machine learning solutions.
  • Algorithm Assessment and Improvement: Assess and improve algorithms, feature sets, and validation metrics to ensure their efficacy for specific problems.
  • Code Conversion and Integration: Convert exploration team's code into robust, production-level solutions, including CI/CD pipeline integration and infrastructure setup.
  • MLOps Infrastructure and Python Package: Oversee the ongoing enhancement and maintenance of our model-agnostic MLOps infrastructure and Python package.
  • Collaboration and Communication: Collaborate with development teams to test and deploy machine learning models, and create metrics to continuously evaluate their performance.
  • Compliance and Governance: Ensure adherence to performance standards and compliance to data security and model governance requirements.
Requirements
  • Experience: More than five years of experience in developing and deploying enterprise-scale machine learning solutions.
  • Education: A bachelor's degree in software engineering, data science, or computer science, or a related quantitative field (or equivalent work experience).
  • Skills: Proficiency in machine learning algorithms, experience in code reproducibility and version control, advanced programming skills with Python and SQL, proficiency in Linux, Bash, and Docker, and exceptional communication skills.
What We Offer

At Wawanesa Insurance, we offer a hybrid work environment that offers flexibility to our employees in balancing in-office and remote work. We are committed to diversity, equity, and inclusion, and we strive to create a workplace that is welcoming and inclusive for all employees.