Machine Learning Engineer
JOB_53409561121178Job type
ContractLocation
TorontoProfession
Data & Advanced AnalyticsIndustry
Retail & Consumer GoodsPay
FlexibleClosing date
3 Dec 2025
Hiring a Machine Learning Engineer
Your new company
Join a leading Canadian retail organization that is transforming the digital shopping experience through intelligent, customer-centric technology. From online grocery and pharmacy to beauty and apparel, the company is building innovative platforms that serve millions of Canadians every day. The AI & Machine Learning team is at the forefront of this transformation, developing advanced search agents, personalization systems, and generative AI applications that power seamless product discovery and engagement across digital channels.
Your new role
- Design and implement robust ML systems using LLMs, RAGs, and embedding models for intelligent search and product discovery.
- Build and deploy scalable ML pipelines using GCP tools such as Vertex AI, BigQuery, Cloud Composer, and Cloud Storage.
- Develop agentic frameworks (e.g., LangChain) to support dynamic, context-aware search and recommendation experiences.
- Collaborate with cross-functional teams to translate business needs into technical solutions that improve customer engagement.
- Ensure high-quality code and testing across the ML lifecycle, including unit, integration, and end-to-end testing.
- Optimize ML workflows for performance, reliability, and maintainability in production environments.
What you'll need to succeed
- Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field.
- 5+ years of experience building scalable ML products, with strong foundations in ML algorithms and pipelines.
- Proficiency in Python, SQL, and software engineering best practices.
- Experience deploying ML solutions in microservices architecture.
- 2+ years working with GCP tools in ML workflows (Vertex AI, BigQuery, Cloud Composer).
- Hands-on experience with LangChain or similar agentic frameworks, LLMs, RAGs, and NLP.
- Skilled in MLOps, container orchestration (Docker, Kubernetes), and production-grade ML deployment.
What you'll get in return
- Competitive compensation and benefits.
- Opportunities to work on high-impact, customer-facing AI products.
- A collaborative and inclusive team environment.
- Access to cutting-edge technologies and cloud-native ML infrastructure.
- The chance to shape the future of digital retail through intelligent systems.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
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