Senior Machine Learning Operations Developer

Staples Canada; Richmond Hill; On-site; CAD 110,000 - 240,000; Full time

Job summary

An innovative retail leader is seeking a Senior Machine Learning Operations Developer to enhance their machine learning capabilities. In this pivotal role, you'll build and maintain the infrastructure that powers advanced data initiatives, translating complex data science models into scalable production solutions. Collaborating with a talented team, you'll drive efficiency through automation and best practices, ensuring seamless integration with business systems. This opportunity not only allows you to mentor others but also positions you at the forefront of a data-driven culture, making a significant impact within the organization. If you're passionate about machine learning and eager to contribute to a dynamic team, this is the role for you.

Benefits

Associate discount

Health and Dental benefits

RRSP/DPSP

Performance bonuses

Learning & Development programs

Qualifications

• 5-8 years of experience in big data technologies and machine learning.
• Proficiency in SQL and Python with strong CI/CD principles.

Responsibilities

• Build and maintain infrastructure for machine learning initiatives.
• Streamline deployment and optimize model performance.

Skills

SQL

Python

CI/CD principles

Machine learning deployment frameworks

Big data technologies

Education

Post-secondary education

Tools

GCP (BigQuery, Vertex AI, Cloud Functions)

Git

Airflow

Kubeflow

Neo4j

Job description

Senior Machine Learning Operations Developer

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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.

Job Description

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 Canada is an equal opportunity employer committed to diversity and inclusion. We encourage applications from all qualified candidates, including those with disabilities.

About The Team

At Staples Canada, we are dynamic, inspiring partners to our customers and communities. As The Working and Learning Company, we inspire people to work smarter, learn more, and grow every day. We’re looking for curious, approachable, and passionate individuals who love finding solutions. If that’s you, let’s work, learn, and grow together.

We are building an inclusive and diverse team

Staples Canada is committed to creating an inclusive and diverse work environment. We welcome, value, and thrive on perspectives and contributions from backgrounds that vary by race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, or physical ability. If you have a disability or special need requiring accommodation, please let us know.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Retail

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Location: Toronto, Ontario, Canada

Salary: $110,000.00-$240,000.00