AutoTrader Canada
201-500 employees
Internet
Automotive
E-commerce
About AutoTrader Canada
AutoTrader Canada is a leading online marketplace for buying and selling new and used vehicles across Canada. The company provides a comprehensive platform that connects car buyers with dealers and private sellers, offering detailed vehicle listings, reviews, and pricing information. Its mission is to simplify the vehicle shopping experience by providing trusted, transparent, and easy-to-use digital tools. AutoTrader Canada is part of the broader AutoTrader group, focusing on innovation in automotive e-commerce and digital marketing solutions.
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Description
- We are part of TRADER, a leader in digital automotive solutions in Canada, with flagship brands like AutoTrader.ca, AutoSync, Dealertrack Canada, and CMS.
- AutoTrader.ca is Canada's largest automotive marketplace, attracting over 25 million monthly visits.
- The role involves leading high-impact AI projects, designing scalable ML infrastructure, and mentoring data scientists.
- The candidate will work on predictive and generative AI models, especially in areas like personalization, pricing, search, and optimization, utilizing cloud-native tools such as AWS, EC2, and Kubernetes.
- The position requires deep expertise in AI/ML frameworks, cloud infrastructure, MLOps, and experience with GenAI/LLMs.
- The role emphasizes strategic vision, technical leadership, and cross-functional collaboration to deliver measurable business value.
- Benefits include gym discounts, employee assistance programs, wellness events, training budgets, and pension matching.
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Requirements
- Advanced academic credentials in a quantitative field such as Computer Science, Engineering, Mathematics, or related discipline
- 10+ years of experience in data science, machine learning, or applied AI with a strong portfolio of high-impact projects in production
- Expert-level programming skills in Python and SQL
- Fluency with ML/AI frameworks like scikit-learn, TensorFlow, PyTorch
- Direct experience with GenAI/LLM technologies including Hugging Face, LangChain, OpenAI APIs, vector databases, and fine-tuning methods
- Deep knowledge of machine learning algorithms (supervised, unsupervised, deep learning)
- Hands-on experience with cloud infrastructure (AWS), containerization (Docker), and orchestration (Jenkins, Airflow)
- Proven capability in MLOps including CI/CD pipelines, model monitoring, versioning, and automated retraining
- Experience deploying models via APIs (e.g., Flask, FastAPI) in real-time and batch environments
- Excellent communication and stakeholder management skills
- Experience mentoring teams and guiding technical strategy
- Experience working in agile environments (Scrum/Kanban)
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Benefits
- Gym discounts
- Employee and Family Assistance program
- Virtual wellness events
- Conferences & training budget
- Regular internal training programs
- 3% matching towards pension
- Multiple income protection options