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 workplace.