Senior Machine Learning Engineer, Growth (Toronto)

Senior Machine Learning Engineer, Growth (Toronto)

27 Oct
|
Skillhub Solutions
|
Toronto

27 Oct

Skillhub Solutions

Toronto

Senior Machine Learning Engineer, GrowthHello FreshToronto, ON Full-time CA$170,000 - CA$200,000 / yearEmployee DiscountsSenior Machine Learning Engineer, Growth Hello Fresh is hiring a Senior Machine Learning Engineer for its Growth Tech Alliance in Toronto. The role focuses on productionizing machine learning infrastructure for marketing optimization systems.Responsibilities Build integration layers for visual AI pipelines and multimodal embeddings used by predictive models.Move proof-of-concept models into production microservices and design LLM-based orchestration frameworks.Develop high-throughput, low-latency data pipelines that process first-party data and send pipeline signals to platforms such as Meta and Google.Work with data scientists and engineers to improve value forecasting efficiency.Establish CI/CD processes, feature stores,



and drift detection; monitor and improve systems in production.Qualifications Experience leading production machine learning systems from architecture through deployment and monitoring.Experience with cloud platforms such as AWS, GCP, or Azure; ML frameworks such as Py Torch, Tensor Flow, or Hugging Face; and Python and Py Spark.Experience designing data architectures for structured and unstructured data, including multimedia assets.A bachelor's or master's degree in computer science or a related engineering field, with experience bringing ML systems from prototype to high-traffic production.Hands-on experience using AI development tools such as Claude Code, Cursor, or Copilot.Work arrangement and compensation Flexible hybrid work in Toronto, with a minimum of two office days per week. The posted pay range is CAD $170,000–$200,000 per year.Perks include meal-kit discounts, health and dental coverage from day one, a health spending

📌 Senior Machine Learning Engineer, Growth (Toronto)
🏢 Skillhub Solutions
📍 Toronto

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