Senior Machine Learning Engineer Growth in Toronto

Senior Machine Learning Engineer Growth in Toronto

Toronto Full-Time 108000 - 132000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Productionize machine learning infrastructure and support marketing optimization systems.
  • Company: Join HelloFresh, a leading food delivery service, in a flexible hybrid work model.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative team focused on innovation and career advancement.
  • Why this job: Make an impact with cutting-edge machine learning technologies in a dynamic environment.
  • Qualifications: Experience in machine learning, Python, and cloud platforms like AWS or GCP.

The predicted salary is between 108000 - 132000 $ per year.

Productionize machine learning infrastructure at HelloFresh in Toronto, using Python and cloud platforms within a flexible hybrid work model. As a Senior Machine Learning Engineer, you will support the Growth Tech Alliance and marketing optimization systems. The role combines machine learning architecture, deployment, monitoring, and data engineering. You will work with visual AI pipelines, multimodal embeddings, predictive models, and LLM-based orchestration frameworks.

Key Responsibilities:

  • Build integration layers for visual AI pipelines and multimodal embeddings
  • Move proof-of-concept models into production microservices
  • Design LLM-based orchestration frameworks for machine learning systems
  • Develop high-throughput, low-latency first-party data pipelines
  • Establish CI/CD, feature stores, and drift detection

Requirements:

  • Lead production machine learning systems through deployment and monitoring
  • Use AWS, GCP, Azure, PyTorch, TensorFlow, or Hugging Face
  • Program with Python and PySpark
  • Design structured and unstructured data architectures, including multimedia
  • Hold a relevant degree and use Claude Code, Cursor, or Copilot
  • Apply machine learning architecture, Python, and cloud expertise to HelloFresh growth systems in Toronto’s hybrid environment.

Senior Machine Learning Engineer Growth in Toronto employer: Skillhub Solutions Inc.

Scotiabank is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and employees are empowered to grow. As a Technical Lead in the GWMS Digital Client Services team, you will benefit from comprehensive professional development opportunities, competitive compensation, and a collaborative environment that values your contributions. Located in a vibrant city, Scotiabank offers unique advantages such as access to cutting-edge technology and a commitment to employee well-being, making it a rewarding place to advance your career.

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Contact Details:

Skillhub Solutions Inc. Recruitment Team

We think you need these skills to ace Senior Machine Learning Engineer Growth in Toronto

Machine Learning Architecture
Deployment and Monitoring
Data Engineering
Visual AI Pipelines
Multimodal Embeddings
Predictive Models
LLM-based Orchestration Frameworks