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Sr. ML Ops Engineer

Richmond Hill, Ontario
Senior Level
full_time

Top Benefits

Associate discount
Health and Dental benefits
RRSP/DPSP

About the role

Job Description Description for Internal Candidates

Some Of What You Will Do The Senior ML Ops Developer builds and maintains the infrastructure powering Staples Canada's machine learning initiatives. Translating data science models into scalable, reliable production solutions enables the business to fully leverage its data assets. Collaborating with data scientists and data engineers, you'll streamline deployment and optimize model performance, ensuring seamless integration with business systems. This role drives efficiency and innovation through automation, improved model monitoring, and a robust machine learning ecosystem. You'll also mentor team members, promoting MLOps best practices to positively impact the organization's ability to derive value from machine learning and advance its data-driven culture.

Specifically, You Will

  • Turn existing data science workflows into scalable, efficient production machine learning pipelines.
  • Implement Feature Stores for managing and sharing features across multiple models.
  • Establish and enforce best practices for CI/CD, version control, and automated testing within the ML lifecycle.
  • Maintain our Neo4j instance, ensuring its performance, scalability, and security.
  • Set up and maintain monitoring and alerting systems to ensure the health and performance of machine learning models and data pipelines.
  • Integrate machine learning outputs seamlessly into relevant business systems, dashboards, and APIs.
  • Document workflows, pipelines, and processes to ensure team members can reuse and maintain them.

Some Of What You Need

  • Post-secondary education is required.
  • Proficiency in SQL and Python.
  • Familiarity with GCP services, especially BigQuery, Vertex AI, and Cloud Functions.
  • Strong knowledge of CI/CD principles and hands-on experience with tools like Git.
  • Experience setting up monitoring and alerting systems for production machine learning models.
  • Strong experience with machine learning deployment and data pipeline frameworks like Airflow and Kubeflow.
  • 5-8 years of experience with big data technologies and machine learning.

Some Of What You Will Get

  • Associate discount
  • Health and Dental benefits
  • RRSP/DPSP
  • Performance bonuses
  • Learning & Development programs
  • And more...

#MakeAnImpact About Us Staples/Bureau en Gros est un employeur qui souscrit au principe de l'égalité d'accès à l'emploi et à la diversité, et nous encourageons tous les candidats qualifiés, y compris les personnes handicapées, à poser leur candidature.

About Staples Canada

Retail
5001-10,000

We are the Working and Learning Company. We are building a community of exploration and discovery, a place where we can all work, learn and grow together. We are here to be a trusted ally, a resource and a sounding board, motivated to support our customers with expert knowledge, unique products and innovative services, made for the changing needs of today’s entrepreneurs, teachers, parents and students.

Founded in 1991, Staples Canada, The Working and Learning Company, is a privately-held company based in Richmond Hill, Ontario, with a network of over 300 stores across Canada. To learn more, visit www.staples.ca or follow @StaplesCanada on Facebook, Twitter and Instagram.