Data Scientist – AI & Machine Learning (Canada / Remote Hybrid)

Data Scientist – AI & Machine Learning (Canada / Remote Hybrid)Location: Toronto, Canada (Toronto office 2x a week)Type: Full-time, PermanentAbout Our ClientOur client is a leading Canadian technology company that powers one of the country’s largest digital marketplaces — helping consumers connect with products and services while supporting businesses with analytics, automation, and fintech solutions.As part of a global technology group with a strong focus on AI and data-driven innovation, our client is transforming how people buy, sell, and finance everyday products through smart, scalable digital platforms.The OpportunityWe’re seeking a Data Scientist to join a high-impact team developing real-world machine learning and AI solutions that influence millions of users. You’ll work on end-to-end ML model design, training, deployment, and optimization — from recommendation and personalization systems to pricing, search, and predictive analytics.This is an opportunity to join a company that blends the stability of an established industry leader with the agility of a modern tech startup.What You’ll DoDesign, train, and deploy ML and Generative AI models that power personalization, pricing, and optimization features.Collaborate with product, engineering, and business teams to translate goals into measurable, data-driven outcomes.Work with large, complex datasets to extract insights and communicate findings to both technical and non-technical audiences.Build scalable data pipelines and ML infrastructure using AWS, Docker, and Airflow/Jenkins.Monitor and improve model performance, contributing to best practices in MLOps.Explore the integration of Generative AI and Large Language Models (LLMs) to enhance automation and user experiences.What You’ll NeedDegree in Computer Science, Engineering, Mathematics, or a related field.3–5 years of experience in data science, machine learning, or AI development, including production deployment.Strong programming skills in Python and SQL.Experience with scikit-learn, TensorFlow, or PyTorch.Hands-on knowledge of AWS, Docker, and modern ML workflows.Understanding of MLOps, model monitoring, and model versioning.Strong communication and problem-solving skills.Familiarity with Generative AI, LLMs, or tools such as LangChain, Hugging Face, or OpenAI APIs.Bonus:Experience in e-commerce, marketplaces, or large-scale consumer platforms.Background in pricing, recommendation systems, or fintech analytics.Contributions to open-source or AI/ML research communities.Why ApplyCompetitive salary and benefits from day one.Wellness and gym discounts plus virtual fitness programs.A collaborative, learning-driven environment that encourages innovation.