30 Jan
Maxi
Toronto
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?
As a Senior Machine Learning Engineer on our team, you will use an abundance of data from the Loblaw enterprise in order to build machine learning solutions. Your team will collaborate with business stakeholders and engineers within Loblaw Digital to deliver models to production that help in driving our Ecommerce business including Search, Recommendations, Media and Supply Chain optimization. You will design experiments to measure your success with KPIs that include adoption, conversion & retention. You will use data every single day to uncover meaningful insights that inform your experimentation strategy and ultimately, your product roadmap.
What you’ll do
- Design, build, and maintain highly scalable, robust, and efficient cloud infrastructure using Google Cloud Platform (GCP) services, including Vertex AI, BigTable, BigQuery, and Cloud Composer.
- Develop automation and orchestration of ML pipelines, integrating data ingestion,
feature engineering, training, and deployment processes.
- Collaborate with cross-functional teams to understand their needs and build solutions that improve platform usability, scalability, and the overall development experience.
- Optimize data processing pipelines and cloud resources to ensure low-latency, cost-effective operation.
- Implement monitoring, alerting, and failover strategies to ensure platform reliability.
- Stay updated with industry trends and best practices in cloud engineering, data engineering, and machine learning
Does this sound like you?
- Customer-centric mindset: Passionate about delivering an exceptional experience for data scientists through a self-service platform, reducing friction in their workflows.
- Collaboration: Strong communication skills to work closely with cross-functional teams,
including data scientists and engineers, to ensure platform features meet user needs and expectations.
- Problem-solving: Ability to identify and solve complex technical issues related to ML pipelines, cloud infrastructure, and scalability, ensuring an efficient and robust platform.
- Automation-first approach: Commitment to streamlining and automating processes for scalability and reliability, enabling data scientists to focus on experimentation and model development.
- Adaptability: Ability to quickly adjust to new technologies and evolving platform needs to keep the infrastructure cutting-edge and efficient.
- Ownership and initiative: Comfortable taking ownership of key platform components, driving innovation and improvements that benefit the platform’s scalability and usability.
- 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 and/or data engineering.
- Hands-on experience with Google Cloud Platform services such as Vertex AI, BigTable, BigQuery, Cloud Composer, Cloud Storage, etc.
- Proficiency in one or more programming languages such as Python, Java, and SQL.
- Experience with orchestration tools such as Apache Airflow (Composer).
- Knowledge of CI/CD pipelines and DevOps tools for continuous integration and deployment.
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Strong problem-solving skills and attention to detail.
- Excellent communication skills and ability to work in a collaborative, fast-paced environment
Comment Réussir:
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 contractuel offrant des avantages sociaux (Durée déterminée)
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.
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