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About the Role

We are hiring a Machine Learning Engineer to help build innovative generative AI products that provide AI-powered assistants to HelloFresh's culinary Chefs. You will contribute to our agentic generative AI system that automates recipe content production and support the MLOps platform.

Responsibilities

• Develop and maintain an agentic GenAI system that integrates with HelloFresh's culinary content pipeline (API development, LLM orchestration, image generation).
• Design and implement production-grade AI Agent evaluations to measure quality, reliability, and performance of generative outputs.
• Design and build scalable, production-grade ML systems capable of handling large datasets, complex model pipelines, and real-time API integrations.
• Contribute to our MLOps platform — a set of tools and services built on Databricks, MLFlow, and Prefect that help data scientists develop, deploy, and maintain ML applications.
• Collaborate with data scientists, product managers, and culinary stakeholders to translate business needs into reliable AI & ML products.
• Improve operational excellence through automation, monitoring, drift detection, and data quality practices.
• Stay up-to-date on advancements in generative AI, agentic workflows, and MLOps tooling, and propose improvements to the team's development lifecycle.
• Perform other duties as assigned.

Requirements

• Strong software development skills in Python and SQL, including DevOps practices, test-driven development (TDD), spec-driven development, and fluency working with AI coding agents.
• Hands-on experience building and maintaining production ML systems, including model serving, monitoring, and CI/CD pipelines.
• Familiarity or interest in generative AI (LLMs, image generation, prompt engineering, agentic architectures).
• Experience with modern MLOps tooling such as MLFlow, feature engineering, Kubernetes, and workflow orchestration (e.g., Prefect).
• Experience with PySpark and Databricks is a plus.
• A passion for building developer tools and platforms that improve productivity and enable other teams to scale ML adoption.
• Ability to communicate complex technical findings to both technical and non-technical stakeholders.

Skills

• Python
• SQL
• DevOps practices
• Test-driven development (TDD)
• Spec-driven development
• AI coding agents
• Generative AI
• LLMs
• Image generation
• Prompt engineering
• Agentic architectures
• MLOps tooling
• MLFlow
• Feature engineering
• Kubernetes
• Workflow orchestration
• Prefect
• PySpark
• Databricks

Location

• Toronto, ON

Work Type

• Hybrid
• Full-time

Salary/Compensations

• $135,000—$155,000 CAD

Benefits

• Box Discount - 75% off weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Dental benefits from day 1
• Health Spending Account
• Unlimited access to the Headspace app
• 25% discount on GoodLife fitness memberships
• Generous vacation and PTO
• Parental leave top-up program
• Growth & Development opportunities
• Team socials
• Engaging company days

About the Company

• HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently.