Machine Learning Engineer

Your New Company

A leading Canadian retailer at the forefront of food and health innovation, committed to delivering quality, value, and sustainability. With a diverse portfolio of trusted brands and a strong presence across grocery, pharmacy, and wellness, this organization plays a vital role in serving millions of Canadians every day. Their focus on community, environmental responsibility, and long-term growth makes them a cornerstone of the Canadian retail landscape.

Your Role:

In this role, you will focus on software engineering and MLOps, building and optimizing the cloud infrastructure that powers scalable machine learning workflows. You will design, automate, and maintain end‑to‑end ML pipelines on Google Cloud Platform, ensuring seamless integration across data ingestion, feature engineering, training, and deployment. You’ll enhance platform usability, optimize system performance, and implement robust monitoring to ensure reliability. Working closely with Data Scientists and ML Engineers, you will help create a frictionless, self‑service ML platform that accelerates innovation across the team.

Experience

• 5+ years of software engineering experience with a focus on cloud infrastructure, data engineering, or ML platform development.
• Strong hands‑on experience with Google Cloud Platform (GCP), including Vertex AI, BigTable, BigQuery, Cloud Composer, and Cloud Storage.
• Proficiency in Python, Java, or SQL for building scalable backend systems.
• Experience with workflow orchestration tools such as Apache Airflow (Cloud Composer).
• Solid understanding of CI/CD pipelines and DevOps tools for automated integration and deployment.
• Familiarity with Docker and Kubernetes for containerization and orchestration.
• Strong analytical and problem‑solving skills with attention to detail.
• Excellent communication skills and ability to work effectively in a fast‑paced, collaborative environment.

What You'll Get in Return

• Competitive rate.
• Challenging and great work environment