Job ID: R2000589279
 

Job  Description:

We are seeking a Senior Machine Learning Engineer to join our team, focusing on the development, deployment and testing of advanced AI systems and sophisticated search agents. This role involves leveraging ML and cutting-edge Large Language Models (LLMs) for building robust, scalable AI applications in the Retail vertical, as well as mentoring other ML developers.

What You'll Do:

• Customer-First Mindset Passion for building AI  products that make people's lives easier and allow them to focus on what is important to them.
• Strong Collaboration Excellent communication skills and ability to thrive in a cross-functional, collaborative, fast-paced environment.
• Problem-Solving Excellence Analytical thinker who can identify, diagnose, and resolve technical challenges in ML pipelines and scalability.
• Automation-First Approach You are always thinking about automation and are comfortable using AI for productivity.
• Adaptability & Innovation Willingness to quickly learn new technologies, mentor others and continuously improve the system.
• Ownership & Initiative Ability to take ownership of key product components and drive impactful improvements.

Does This Sound Like You?

• Bachelor s degree or equivalent in Computer Science or a related field alongside a strong foundation in ML algorithms, ML pipelines, and transformations, with 5+ years of hands-on experience building scalable ML products.
• Software engineering proficiency in Python, SQL, and Design Patterns, with proven experience building and deploying ML solutions in microservices architecture in production.
• 2+ years experience using GCP tools in ML workflows like Vertex AI, BigQuery, Cloud Composer and Cloud Storage.
• Proven experience in LangChain ecosystem or other Agentic frameworks, NLP, LLMs, RAGs and embedding models.
• Skilled in ML workflow automation/deployment and MLOps for seamless integration and deployment, and have supported ML products in production environments.
• Committed to code quality at every stage of the ML lifecycle, with a strong mindset in testing methodologies (unit, integration, end-to-end) and container orchestration using Docker and Kubernetes.

How You ll Succeed: 

At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections. 

We re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce.

If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we ll get along just fine.

Looking for a challenge? Good. Love an innovative work environment? Even better.

Apply today.

Employment Type:

Full time

Type of Role:

Regular

Loblaw Digital recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

In addition, we believe that compliance with laws is about doing the right thing.  Upholding the law is part of our Code of Conduct it reinforces what our customers and stakeholders expect of us.