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

Job Description

<p><strong>Data Scientist - AI & Machine Learning (Canada / Remote Hybrid)</strong></p><p><strong>Location:</strong> Toronto, Canada (Toronto office 2x a week)</p><p><strong>Type:</strong> Full-time, Permanent</p><p><br></p><p><strong>About Our Client</strong></p><p>Our 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.</p><p><br></p><p>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.</p><p><br></p><p><strong>The Opportunity</strong></p><p>We're seeking a <strong>Data Scientist</strong> 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.</p><p>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.</p><p><br></p><p><strong>What You'll Do</strong></p><ul><li>Design, train, and deploy ML and Generative AI models that power personalization, pricing, and optimization features.</li><li>Collaborate with product, engineering, and business teams to translate goals into measurable, data-driven outcomes.</li><li>Work with large, complex datasets to extract insights and communicate findings to both technical and non-technical audiences.</li><li>Build scalable data pipelines and ML infrastructure using <strong>AWS</strong>, <strong>Docker</strong>, and <strong>Airflow/Jenkins</strong>.</li><li>Monitor and improve model performance, contributing to best practices in <strong>MLOps</strong>.</li><li>Explore the integration of <strong>Generative AI</strong> and <strong>Large Language Models (LLMs)</strong> to enhance automation and user experiences.</li></ul><p><br></p><p><strong>What You'll Need</strong></p><ul><li>Degree in Computer Science, Engineering, Mathematics, or a related field.</li><li>3-5 years of experience in <strong>data science</strong>, <strong>machine learning</strong>, or <strong>AI development</strong>, including production deployment.</li><li>Strong programming skills in <strong>Python</strong> and <strong>SQL</strong>.</li><li>Experience with <strong>scikit-learn</strong>, <strong>TensorFlow</strong>, or <strong>PyTorch</strong>.</li><li>Hands-on knowledge of <strong>AWS</strong>, <strong>Docker</strong>, and modern ML workflows.</li><li>Understanding of <strong>MLOps</strong>, model monitoring, and model versioning.</li><li>Strong communication and problem-solving skills.</li><li>Familiarity with <strong>Generative AI</strong>, <strong>LLMs</strong>, or tools such as <strong>LangChain</strong>, <strong>Hugging Face</strong>, or <strong>OpenAI APIs</strong>.</li></ul><p><strong>Bonus:</strong></p><ul><li>Experience in e-commerce, marketplaces, or large-scale consumer platforms.</li><li>Background in pricing, recommendation systems, or fintech analytics.</li><li>Contributions to open-source or AI/ML research communities.</li></ul><p><br></p><p><strong>Why Apply</strong></p><ul><li>Competitive salary and benefits from day one.</li><li>Wellness and gym discounts plus virtual fitness programs.</li><li>A collaborative, learning-driven environment that encourages innovation.</li></ul><p></p>