Productionize machine learning infrastructure at HelloFresh in Toronto, using Python and cloud platforms within a adaptable 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 embeddingsMove proof-of-concept models into production microservicesDesign LLM-based orchestration frameworks for machine learning systemsDevelop high-throughput,



low-latency first-party data pipelinesEstablish CI/CD, feature stores, and drift detectionRequirements:

Lead production machine learning systems through deployment and monitoringUse AWS, GCP, Azure, PyTorch, TensorFlow, or Hugging FaceProgram with Python and PySparkDesign structured and unstructured data architectures, including multimediaHold a relevant degree and use Claude Code, Cursor, or CopilotApply machine learning architecture, Python, and cloud expertise to HelloFresh growth systems in Toronto’s hybrid environment.

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