Machine Learning Engineer
Posted on 2/13/2024
INACTIVE
 Loblaw Digital

501-1,000 employees

Creates leading eCommerce experiences across sectors
Company Overview
Loblaw Digital stands out for its commitment to creating top-tier eCommerce experiences across various sectors, including online grocery shopping, beauty, pharmacy, and apparel, demonstrating its industry leadership and technical innovation. The company fosters a culture of openness, transparency, and inclusion, with flexible work schedules and a focus on self-care, making it a supportive and understanding work environment. Furthermore, Loblaw Digital encourages personal growth and exploration, offering opportunities for employees to diversify their skills and achieve their career goals, thereby providing a competitive advantage over other companies.
Consumer Software

Company Stage

N/A

Total Funding

N/A

Founded

2012

Headquarters

Toronto, Canada

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

7%
Locations
Toronto, ON, Canada
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Tensorflow
Data Structures & Algorithms
Pytorch
BigQuery
Data Analysis
Google Cloud Platform
CategoriesNew
AI & Machine Learning
Requirements
  • Master's or Ph.D. in Computer Science or a STEM field
  • Experience with taking Machine Learning projects to production
  • Strong programming skills in languages such as Python, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, XGBoost, Scikit-Learn)
  • Hands-on experience deploying and maintaining web-services to serve Machine Learning solutions
  • Extensive experience working with Google Cloud Platform and its data processing & ML components
  • Solid understanding of Propensity Score Modelling, Market Mix Modeling, Collaborative Filtering
  • Familiarity with large-scale data processing, distributed computing, and cloud-based data solutions
  • Excellent communication and collaboration skills, with the ability to work in a cross-functional team environment
Responsibilities
  • Design and implement machine learning algorithms and models to create personalized recommendations, product suggestions, and tailored shopping experiences
  • Deploy machine learning models as web services to production environment and implement monitoring systems to ensure model performance and accuracy over time
  • Work on preprocessing pipelines, feature engineering, and data augmentation to ensure high-quality input for machine learning models
  • Collaborate with data scientists, product managers, and software engineers to understand business requirements and translate them into effective machine learning solutions
  • Continuously evaluate model performance, iterate on existing models, and optimize algorithms for improved accuracy and efficiency
  • Document code, models, and processes effectively for knowledge sharing and future reference
  • Utilize Google Cloud Platform (GCP) services and tools to build scalable and efficient machine learning solutions. Leverage GCP products like BigQuery, AI Platform, and Dataflow to process and analyze large datasets
Desired Qualifications
  • Experience with retail technology and personalization
  • Previous experience in online grocery shopping, beauty, pharmacy, loyalty, or apparel spaces