Job ID: R2000565298
 

Job Description:

We are seeking a Machine Learning Software Engineer to join our Machine Learning Platform team. In this role, you will design, build, and maintain scalable, high-performance cloud infrastructure that powers ML models, pipelines, and data processing. You will collaborate closely with Data Scientists and ML Engineers to ensure our platform is highly available, efficient, and easy to use.

What You'll Do:

• Architect, develop, and maintain scalable cloud infrastructure using Google Cloud Platform (GCP) services such as Vertex AI, BigTable, BigQuery, and Cloud Composer.
• Automate and orchestrate ML workflows, integrating data ingestion, feature engineering, training, and deployment.
• Enhance platform usability and scalability, ensuring an optimized development experience for ML practitioners.
• Optimize data pipelines and cloud resources for low-latency, cost-effective operations.
• Implement monitoring, alerting, and failover mechanisms to ensure platform reliability and stability.
• Stay at the forefront of industry trends, continuously refining best practices in cloud engineering, data engineering, and ML infrastructure.

Does This Sound Like You?

• Customer-First Mindset Passion for building self-service ML platforms that minimize friction for data scientists.
• Strong Collaboration Ability to work closely with cross-functional teams, including Data Scientists and ML Engineers.
• Problem-Solving Excellence Analytical thinker who can identify, diagnose, and resolve technical challenges in ML pipelines, cloud infrastructure, and scalability.
• Automation-First Approach Commitment to streamlining and automating infrastructure to enhance scalability and reliability.
• Adaptability & Innovation Willingness to quickly learn new technologies and continuously improve the platform.
• Ownership & Initiative Ability to take ownership of key platform components and drive impactful improvements.

Qualifications:

• Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
• 2+ years of experience in software engineering, with a focus on cloud infrastructure, data engineering, or ML platforms.
• Hands-on experience with GCP services, including Vertex AI, BigTable, BigQuery, Cloud Composer, and Cloud Storage.
• Proficiency in Python, Java, or SQL for developing scalable backend solutions.
• Experience with workflow orchestration tools such as Apache Airflow (Cloud Composer).
• Expertise in CI/CD and DevOps tools for seamless integration and deployment.
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Strong analytical mindset and attention to detail.
• Excellent communication skills and ability to thrive in a collaborative, fast-paced environment.

If you're excited about shaping the future of ML infrastructure and love working on cutting-edge cloud solutions, we'd love to hear from you!

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.