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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.
- Solid 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)

Disclaimer:
AI may be used in evaluating candidates.
This posting is for an existing vacancy.

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Apply on Kit Job: kitjob.ca/job/2fzsvh

📌 Senior Machine Learning Engineer (GenAI + GCP) (Toronto)
🏢 S.i. Systèmes
📍 Toronto