Senior ML Engineer: Scalable AI Infra & Orchestration

HelloFresh; Toronto; Hybrid; CAD 170,000 - 190,000; Full time

Benefits offered by this job

Box discounts

Health & dental benefits

Generous vacation & PTO

Parental leave top-up

Career development

Team social events

DEI initiatives

Fun office culture

Job summary

HelloFresh Canada in Toronto, ON is seeking a Senior Machine Learning Engineer to architect and deploy scalable ML infrastructure for our growth systems. You will transition prototypes into production microservices, deliver low-latency data pipelines, and drive AI-driven marketing optimizations at global scale.

Join a cross-functional team that values bold thinking, fast execution, and ownership. The role offers a flexible hybrid work model with competitive compensation and comprehensive

Qualifications

• Experience leading end-to-end lifecycle of production ML systems.
• Expertise with cloud ecosystems (AWS/GCP/Azure) for ML infra.
• Proficiency with PyTorch, TensorFlow and HuggingFace.
• Strong Python and PySpark programming skills.
• Advanced degree in CS or a related field with ML production track record.
• Experience building robust data architectures for diverse data formats.
• Bias for action and ownership; readiness to adopt Gen AI tools.

Responsibilities

• Build robust integration layers for visual AI pipelines powering predictive models.
• Transition PoC models into production microservices and LLM-based orchestration.
• Engineer high-throughput, low-latency data pipelines to external platforms.
• Collaborate with data scientists and engineers to improve value forecasting.
• Establish CI/CD, feature stores, and drift detection for reliability.
• All other duties, as assigned

Skills

End-to-end ML systems

Production deployment

Cloud: AWS/GCP/Azure

PyTorch/TensorFlow/HuggingFace

Python

PySpark

ML data architectures

Gen AI tools

Education

BS/MS in CS or related field

Job description

HelloFresh Canada in Toronto, ON is seeking a Senior Machine Learning Engineer to architect and deploy scalable ML infrastructure for our growth systems. You will transition prototypes into production microservices, deliver low-latency data pipelines, and drive AI-driven marketing optimizations at global scale.

Join a cross-functional team that values bold thinking, fast execution, and ownership. The role offers a flexible hybrid work model with competitive compensation and comprehensive