Senior Machine Learning Operations Developer
Canada
Staples
Staples offers free next-day delivery when you spend $35+ on office supplies & furniture, ink, printing services, computers, & promotional products for business.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
Staples Canada is an equal opportunity employer committed to diversity and inclusion and we encourage applications from all qualified candidates, including those with disabilities.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Big Data BigQuery CI/CD Data pipelines GCP Git Kubeflow Machine Learning ML models MLOps Neo4j Pipelines Python Security SQL Testing Vertex AI
Perks/benefits: Career development Health care
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