AI Production Data Engineer - Pipelines & MLOps

Canadian Tire; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading retail company in Canada is seeking a skilled Data Engineer to join their Advanced Analytics and Modelling team. You will ensure the stability and performance of ML models in production, develop ETL pipelines, and collaborate with data scientists. Candidates should possess a Master's degree in a technical field and have experience with Azure technologies. This role offers competitive pay and career growth opportunities, emphasizing innovation and team collaboration.

Benefits

Career growth opportunities

Product discounts

Mental health benefits

Qualifications

• 2+ years of data engineering experience with Azure-related technologies.
• Experience in deploying AI models in production environments.
• Knowledge of programming languages used in ML development, specifically Python and R.

Responsibilities

• Design, develop, and manage ETL data pipelines.
• Deploy and scale machine learning models in production.
• Collaborate with data scientists for clean, structured data.

Skills

Machine Learning Model Productionisation

ETL Data Pipelines

Azure Databricks

Python

Azure Data Factory

Data Quality Checks

Communication Skills

Education

Master’s degree in computer science or related field

Tools

Azure Data Lake Storage

Kubernetes

Docker

Job description

A leading retail company in Canada is seeking a skilled Data Engineer to join their Advanced Analytics and Modelling team. You will ensure the stability and performance of ML models in production, develop ETL pipelines, and collaborate with data scientists. Candidates should possess a Master's degree in a technical field and have experience with Azure technologies. This role offers competitive pay and career growth opportunities, emphasizing innovation and team collaboration.