Data Scientist jobs in Canada

Job Description

Your new company

Join a leading retail company that is dedicated to providing exceptional customer experiences and innovative solutions. This organization is committed to leveraging cutting-edge technologies to drive business growth and enhance operational efficiency.

Your new role

As a Lead Machine Learning Engineer, you will lead the development of next- personalization systems, including the Multimodal Recommendation Engine and emerging generative AI initiatives. Your tasks will include:

• Architecting and implementing advanced deep learning models for multimodal recommendation systems, processing diverse data types including text, images, user behavior, item features, offer data, and contextual signals
• Leading the development and optimization of generative AI applications for personalized product discovery, search enhancement, and customer engagement
• Designing and maintaining highly scalable ML infrastructure using GCP services (Vertex AI, BigTable, BigQuery, Cloud Composer) capable of handling millions of daily predictions
• Building and optimizing end-to-end ML pipelines for model training, deployment, and monitoring at scale
• Driving architecture decisions for the personalization platform
• Collaborating with product managers, data scientists, and engineers to translate business requirements into robust technical solutions
• Leading experimentation strategies with measurable KPIs including adoption, conversion, and retention

What you'll need to succeed

• Master's or PhD in Computer Science, Machine Learning, or related field
• 7+ years of experience in machine learning engineering, with a focus on recommendation systems or personalization
• Strong expertise in deep learning frameworks (PyTorch or TensorFlow) and building production-grade ML systems
• Proven experience with GCP services and ML infrastructure at scale
• Proficiency in Python, SQL, and cloud- development
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Track record of deploying ML models to production at scale
• Experience with multimodal deep learning architectures and generative AI models
• Knowledge of modern recommendation system architectures (transformers, neural collaborative filtering)
• Expertise in building real-time inference systems
• Experience with distributed computing frameworks (Spark) and big data processing
• Familiarity with Apache Airflow (Cloud Composer) and CI/CD pipelines

What you'll get in return

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• Access to cutting-edge technologies and projects
• The chance to work with industry leaders and innovators

What you need to do now

If you're interested in this exciting opportunity, click 'apply now' to forward an up-to-date copy of your CV, or call us for a confidential discussion.