Machine Learning Software Engineer Job at Loblaw Digital, Toronto, ON

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  • Loblaw Digital
  • Toronto, ON

Job Description

Loblaw Digital est l’équipe responsable de la construction et de l’exploitation des activités numériques pour le plus grand et le plus prospère détaillant au Canada. Nous créons des solutions de commerce électronique de pointe réactives, dont le site Cliquez et ramassez de Loblaws, qui offre une expérience de courses alimentaires en ligne novatrice. Nous avons également mis au point, et exploitons maintenant, le site primé JoeFresh.com, ainsi que l’application pour iPad et iPhone. Nous sommes établis dans le centre-ville de Toronto et fonctionnons comme une jeune entreprise, mais disposons des ressources d’une entreprise beaucoup plus importante. Nous sommes une équipe sympathique d’entrepreneurs en constante évolution qui travaille en collaboration en vue de transformer la façon dont les Canadiens magasinent.

Pourquoi ce role est-il important?

Team Mission :

Our mission is to empower data scientists to deploy robust, scalable, and efficient ML services with a seamless development experience.

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!

Comment R é ussir:

Chez Loblaw Digital, nous recherchons toujours des personnes formidables pour continuellement renforcer notre culture. Nous croyons que les gens formidables façonnent nos valeurs, sont authentiques, bâtissent la confiance et créent des liens.

Si cela vous ressemble et que vous êtes ouvert d’esprit, que vous avez une bonne attitude face aux changements et que vous aimez les défis d’un environnement de travail aux détails dynamiques, postulez aujourd’hui.

Type d'emploi :

Temps plein

Role:

Poste régulier

Loblaw Digital limitée considère que la diversité culturelle du Canada est une source de fierté nationale et un symbole de stabilité. Nous nous sommes donné comme priorité de refléter les diversités culturelles de notre pays dans les produits que nous vendons, les gens que nous embauchons et notre culture d’entreprise. Des mesures d’adaptation sont offertes sur demande pour les candidats et les collègues qui ont des handicaps.

En outre, nous croyons que la conformité aux lois consiste à faire ce qu'il faut. Le respect de la loi fait partie de notre Code de conduite; il renforce ce que nos clients et nos parties prenantes attendent de nous.

#FR

#SS #LD #ON

Job Tags

Full time, Downtown,

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