Senior Machine Learning Engineer (GenAI + GCP)

Our client is Canada's largest retailer. They are looking for a Senior Machine Learning Engineer to join the Personalization team.

Project: You will be working on a hyper-personalized application that integrates diverse user data (financial, health/pharmacy, grocery, and behavioral signals). The platform is evolving from a traditional recommendation system to a GenAI-driven, agentic architecture, enabling more intelligent and dynamic user experiences.

Duration: 6 Months, to start

Location: Remote

Responsibilities:

• Lead the development of GenAI-powered personalization applications for product discovery and search
• Design and build scalable ML pipelines (data ingestion, feature engineering, training, deployment)
• Develop and optimize cloud infrastructure using GCP services
• Implement prompt engineering and transformer-based solutions for real-world applications
• Collaborate with cross-functional teams to deliver scalable and user-focused ML solutions
• Optimize system performance for latency, cost, and reliability
• Build monitoring, alerting, and failover mechanisms for production ML systems
• Stay up to date with best practices in machine learning, cloud engineering, and GenAI

Must Have Skills:

• 5+ years of experience in Machine Learning Engineering, with a focus on GenAI applications for personalization.
• Strong expertise in GenAI frameworks (LangChain or LangGraph)
• Experience with LLMs or agentic systems (e.g. Gemini)
• Proven experience with Google Cloud Platform (GCP)
• Experience with Vertex AI, BigQuery, and/or Airflow
• Strong experience with Python and SQL
• Experience building and deploying ML systems at scale

Nice to Haves:

• Experience with Docker and Kubernetes
• Familiarity with Spark or distributed computing frameworks
• Knowledge of recommendation systems (transformers, neural collaborative filtering)