Machine Learning Engineer - Montreal - BRP

    BRP
    BRP Montreal

    3 days ago

    Full time
    Description

    Be a part of a fast-paced culture and community in a startup-like environment inside one of the most successful organizations in Québec, Canada. We are focused on building a highly talented and ambitious team from the ground up that revolutionizes the way we work around Data & Analytics at BRP. We are a team that has the potential to unlock tremendous value for the organization and you have the unique opportunity to be part of it from the beginning.

    We are looking for a talented Machine Learning Engineer to join our team. You will play a crucial role in standardizing and deploying machine learning/advanced analytics projects, while also contributing to the continuous improvement of our platform (DevOps/MLOps). This position offers a unique opportunity to work at the intersection of machine learning, data engineering, and DevOps, helping to shape the way we deliver scalable and efficient AI-driven solutions at BRP.

    YOU'LL HAVE THE OPPORTUNITY TO:

    • Design, develop, and deploy machine learning and advanced analytics models in production environments.

    • Standardize ML workflows to ensure scalability, reproducibility, and maintainability.

    • Collaborate with data scientists and engineers to improve data pipelines and optimize model performance.

    • Implement and maintain MLOps/DevOps best practices to streamline model training, testing, and deployment.

    • Contribute to platform improvements by automating processes, monitoring system performance, and implementing CI/CD pipelines.

    YOU'LL THRIVE IN THIS ROLE IF YOU HAVE THE FOLLOWING SKILLS AND QUALITIES:

    • 3+ years of experience working as a Machine Learning Engineer or Data Engineer with a focus on machine learning projects.

    • Proficiency in Python and SQL for machine learning, data processing, and automation.

    • Solid understanding of software engineering best practices (e.g., version control, modularity, testing, and CI/CD).

    • Intermediate knowledge of classic machine learning algorithms and model evaluation techniques.

    • Basic understanding of DevOps/MLOps concepts, including CI/CD, and monitoring.

    • Ability to work independently and take ownership of tasks.

    • Excellent verbal and written communication skills.

    STAND OUT WITH...

    • Experience with Dataiku for managing machine learning workflows.

    • Familiarity with Snowflake as a cloud-based data warehouse.

    • Knowledge of Dagster for orchestrating data pipelines.

    • Exposure to Azure DevOps for CI/CD, automation, and infrastructure management.

    ACKNOWLEDGING THE POWER OF DIVERSITY

    BRP is dedicated to nurturing a culture that invites, connects, and propels the ambitions of people of all backgrounds, profiles, beliefs and experiences. Ultimately, the diversity and uniqueness of our people fuel our ingenuity and set the course for the path ahead

    For this reason, we value diversity and we strive to always push each other forward to build an inclusive workplace where every employee feels like they belong, where they can grow and find meaning.

    AT BRP, WHEN WE TALK ABOUT BENEFITS, WE GO ALL IN.

    Let's start with a strong foundation - You want it, we have it:

    • Annual bonus based on the company's financial results

    • Generous paid time away

    • Pension plan

    • Collective saving opportunities

    • Industry leading healthcare fully paid by BRP

    What about some feel good perks:

    • Flexible work schedule

    • A summer schedule that varies by department and location

    • Holiday season shutdown

    • Educational resources

    • Discount on BRP products

    WELCOME TO BRP

    We're a world leader in recreational vehicles and boats, creating innovative ways to move on snow, water, asphalt, dirt and even in the air. Headquartered in the Canadian town of Valcourt, Quebec, our company is rooted in a spirit of ingenuity and intense customer focus. Today, we operate manufacturing facilities in Canada, the United States, Mexico, Finland, Australia and Austria, with a workforce made up of close to 16,500 spirited people, all driven by the deeply held belief that at work, as with life itself, it's not about the destination: It's about the journey.

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