Senior Machine Learning Engineer
Top Benefits
About the role
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, AlloyDB, 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
About Loblaw Companies Limited
Our Purpose – Live Life Well
Loblaw Companies Limited is Canada’s food and pharmacy leader, the nation’s largest retailer, and the majority unit holder of Choice Properties Real Estate Investment Trust. Loblaw – and its portfolio of grocery, health and beauty, financial services and apparel businesses – provides Canadians with an unparalleled mix of value, assortment and convenience, and offers Canadians two of the country’s most recognized brands – President’s Choice and no name.
The acquisition of Shoppers Drug Mart, along with the powerful Life Brand and Optimum brand, has only served to reinforce our leadership position in the marketplace. As well, our PC Plus program, omni-channel efforts and multicultural merchandising offerings continued to be points of differentiation for our customer experience.
In 2019, Loblaw has been recognized as one of Canada’s Top 100 Employers, Best Diversity Employers by Mediacorp Canada Inc.
IMPORTANT NOTE ABOUT FRAUD AFFECTING OUR JOBSEEKERS.
Please be advised that recruitment fraud has affected a number of Canadian companies. In such schemes, individuals posing as legitimate recruiters may request personal information and payment from those seeking employment.
Loblaw Companies Limited, its subsidiaries, and recruiting agencies will never ask for payment at any stage in the recruitment process. All legitimate postings may be accessed via our career website.
Senior Machine Learning Engineer
Top Benefits
About the role
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, AlloyDB, 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
About Loblaw Companies Limited
Our Purpose – Live Life Well
Loblaw Companies Limited is Canada’s food and pharmacy leader, the nation’s largest retailer, and the majority unit holder of Choice Properties Real Estate Investment Trust. Loblaw – and its portfolio of grocery, health and beauty, financial services and apparel businesses – provides Canadians with an unparalleled mix of value, assortment and convenience, and offers Canadians two of the country’s most recognized brands – President’s Choice and no name.
The acquisition of Shoppers Drug Mart, along with the powerful Life Brand and Optimum brand, has only served to reinforce our leadership position in the marketplace. As well, our PC Plus program, omni-channel efforts and multicultural merchandising offerings continued to be points of differentiation for our customer experience.
In 2019, Loblaw has been recognized as one of Canada’s Top 100 Employers, Best Diversity Employers by Mediacorp Canada Inc.
IMPORTANT NOTE ABOUT FRAUD AFFECTING OUR JOBSEEKERS.
Please be advised that recruitment fraud has affected a number of Canadian companies. In such schemes, individuals posing as legitimate recruiters may request personal information and payment from those seeking employment.
Loblaw Companies Limited, its subsidiaries, and recruiting agencies will never ask for payment at any stage in the recruitment process. All legitimate postings may be accessed via our career website.