Senior Machine Learning Engineer
Full-time
HelloFresh
Responsibilities
- Own the end-to-end architecture, design, development, deployment, and operations of data pipelines and production ML systems.
- Build and operate data infrastructure powering personalized customer benefits, incentives, offers, and experiences.
- Design, implement, optimize, and maintain high-quality data pipelines and scalable ML systems.
- Apply data quality assurance, monitoring, testing, application tuning, profiling, and continuous integration practices.
- Collaborate with Data Scientists, Machine Learning Engineers, Data Engineers, Product Owners, engineers, analysts, and business intelligence teams.
- Provide technical support, mentorship, coaching, and practical knowledge to colleagues and stakeholders.
Requirements
- Experience leading the full lifecycle of production ML systems from architectural design through scalable deployment and monitoring.
- Solid data engineering experience with Python and SQL, including maintainable and high-quality code development.
- Hands-on experience with PySpark, Kubernetes, Kafka, cloud computing, and data processing technologies.
- Expertise in data modeling, relational databases such as PostgreSQL, object stores such as AWS S3, and data platforms such as Databricks.
- Proven ability to build efficient, robust, and well-performing data pipelines.
- Experience with unit, integration, and functional testing, application tuning and profiling, and continuous integration.
- Extensive experience with agile development and strong delivery, problem-solving, collaboration, and mentoring skills.
- Passion for using AI tools to improve collaboration and execution.
- Familiarity with e-commerce and subscription-based businesses is preferred.
Benefits
- 75% discount on weekly HelloFresh and Chefs Plate meal kits and 50% discount on weekly Factor meal boxes.
- Health and dental benefits from day one, a Health Spending Account, Headspace access, and a GoodLife fitness discount.
- Competitive RRSP matching program.
- Generous vacation and paid time off.
- Parental leave top-up program.
- Career progression and continued learning support through the dedicated L&D team.
- Team socials and company days, plus diversity, equity, and inclusion initiatives.
- Flexible hybrid work with remote flexibility and a minimum of two days in the Toronto office per week, with most teams working onsite two to three days weekly.
Vacancy posted 1 day ago
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