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:

• Design, build and ship multiple components within an Agentic AI system utilizing state of the art technologies to solve business problems.
• Develop high-performance enterprise-level Machine Learning models and AI agents using Python programming, leveraging massive structured and unstructured datasets and APIs from various internal and external sources.
• Champion and lead best practices for MLE and LLMOps.
• Collaborate with front end and back end engineering teams to build and deploy ML models and agentic components in production.
• Take ownership of system components, mentor other machine learning developers, and contribute to raising the technical bar within the team.
• Document and share results and findings with stakeholders in a structured manner and drive technical discussions cross functionally.

Does This Sound Like You?

• 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.

Qualifications:

• 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

Hiring Range / Échelle salariale à l'embauche :

$128,000.00 - $176,000.00 / 128.000,00$ - 176.000,00$ (per year / par an)

A candidate's experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. / L'expérience et les connaissances d'un candidat ainsi que la région géographique dans laquelle le poste est situé peuvent être prises en compte dans la rémunération qu'un candidat reçoit pour ce poste. Cette offre d'emploi concerne un poste vacant existant. L'entreprise utilise l'intelligence artificielle dans le but de filtrer, d'évaluer et/ou de sélectionner les candidats à ce poste.

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