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Pytorch Developer Jobs in Montreal, QC (NOW HIRING)

... PyTorch or TensorFlow) Practical experience with LLM APIs and tools (OpenAI, Anthropic Claude, or ... Experience building LLM-powered applications or proof-of-concepts using prompt engineering, RAG ...

MSc (preferred) or BSc in Statistics, Data Science, Computer Science, Mathematics, Engineering ... Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or ...

Collaborate closely with our engineering team in a fast-paced startup environment and see your ... Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library * Experience with ...

Mettre en uvre les meilleures pratiques en ingenierie des caracteristiques (feature engineering ... Excellente maitrise de Python et des frameworks ML (PyTorch, TensorFlow, scikit-learn) * Experience ...

Vous connaissez bien l'ecosysteme de la science des donnees (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, etc.). Vous possedez une solide experience des solutions d'IA/ML basees sur le cloud ...

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Pytorch Developer information

What is a PyTorch developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a PyTorch developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges PyTorch developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

Data Scientist

BRP

Montreal, QC • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Job 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. 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. Join BRP's central Data & Analytics team (DNA) as a Data Scientist and bring your analytical skills and business insight to our dynamic team. This role is perfect for someone who seeks to blend their understanding of business intelligence with the predictive power of data science to unlock new opportunities for BRP. YOU’LL HAVE THE OPPORTUNITY TO: Partner with Product Managers, Product Owners, and business stakeholders to surface high-impact opportunities, translating business questions into well-defined analytical and ML problems Design, build, and validate machine learning models and statistical analyses, with clear success metrics tied to outcomes and a strong focus on validity, fairness, and interpretability Plan and execute rigorous A/B tests, experiments, and causal inference studies to validate model performance and measure real business impact Communicate complex findings to non-technical audiences through compelling data storytelling, turning numbers into narratives that drive decisions Stay ahead of rapid developments in foundation models, LLMs, and agentic systems, evaluate their applicability to our context and champion adoption where it creates genuine value YOU’LL THRIVE IN THIS ROLE IF YOU HAVE THE FOLLOWING SKILLS AND QUALITIES: Education & Experience MSc (preferred) or BSc in Statistics, Data Science, Computer Science, Mathematics, Engineering, Economics, or equivalent quantitative field 5 years of hands-on experience applying data science and machine learning to solve real business problems Demonstrated track record of projects where your work drove measurable business outcomes Technical Skills Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or TensorFlow) Practical experience with LLM APIs and tools (OpenAI, Anthropic Claude, or similar) for prototyping and implementing AI-powered solutions Solid SQL skills and experience querying data warehouses (Snowflake experience is a plus) Familiarity with at least one end-to-end ML platform (Dataiku, Databricks, Vertex AI or SageMaker) for experimentation and model development Solid grasp of ML fundamentals: model evaluation, cross-validation, hyperparameter tuning, bias-variance tradeoffs, and MLOps principles STAND OUT WITH… Experience building LLM-powered applications or proof-of-concepts using prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning approaches Familiarity with AI agent frameworks and orchestration tools (LangGraph, LangChain, CrewAI, or similar) and agent harness Experience with model explainability techniques (SHAP, LIME) and bias/fairness assessment in production contexts Knowledge of the full MLOps lifecycle: model monitoring, drift detection, and retraining strategies Open-source contributions or publications reflecting thought leadership in data science or AI Experience mentoring junior data scientists or leading analytical initiatives 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 17,000 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.