Senior Machine Learning Engineer Growth

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.