🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
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. Key Responsibilities Design, build, and deploy scalable machine learning and advanced analytics solutions in production environments. Develop and standardize data and ML workflows to ensure reliability, reproducibility, and long-term maintainability. Collaborate closely with data scientists and data engineers to enhance data pipelines and continuously improve model performance. Implement and evolve MLOps and DevOps practices to streamline model development, testing, deployment, and monitoring. Drive platform improvements by automating workflows, implementing CI/CD pipelines, and monitoring system health and performance. Experience Qualifications and Skills 4+ years of experience as a Machine Learning Engineer or Data Engineer, with strong exposure to machine learning projects. Technical Skills Proficiency in Python and SQL for data processing, model development, and automation. Solid understanding of software engineering best practices, including version control, modular design, testing, and CI/CD. Hands-on experience with classical machine learning algorithms and model evaluation methodologies. Familiarity with Large Language Model (LLM) workflows and related tools. Professional Competencies Strong sense of ownership with the ability to work independently and deliver high-quality results. Excellent verbal and written communication skills. Languages Fluency in Portuguese and English. Stand Out With... Working experience designing and building Large Language Models (LLM)/Agentic solutions. Experience with Azure resources for AI/Machine Learning. 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. Knowledge of French. 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. 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. This position is based in Campinas, Brazil and is eligible to the BRP Employee Referral Program. Resumes in English will be preferred.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.