Senior ML Engineer - Benefits Personalization (Hybrid)

Carbon Data Solutions; Toronto; Hybrid; CAD 170,000 - 200,000; Full time

Benefits offered by this job

Box Discount

Health & Wellness

RRSP Matching

Vacation & PTO

Family Benefits

Growth & Development

Work Hard & Have Fun

Diversity & Inclusion Initiatives

Food Puns

Job summary

HelloFresh Canada is seeking a Senior ML Engineer to join the Benefits Personalization Squad. You will own data infrastructure powering personalized customer experiences and collaborate with data scientists, engineers, and product stakeholders to deliver value at scale.

You’ll work with cloud-based data pipelines and modern tech like PySpark, Kubernetes, Kafka, Databricks, and dbt, while leveraging AI tools to boost productivity and outcomes.

Qualifications

• Experience leading end-to-end lifecycle of production ML systems.
• Strong Python/SQL coding and data engineering skills.
• Hands-on cloud/data processing with PySpark, Kubernetes, Kafka.

Responsibilities

• Own end-to-end data pipelines from architecture to deployment and operations.
• Collaborate with cross-functional teams including Data Scientists, Data Engineers, and other engineers.
• Mentor teammates and act as an ambassador for data solutions.
• Leverage AI tools to improve productivity and outcomes.
• Ensure data quality and monitoring across platforms.

Skills

Python

SQL

Data modeling

Mentoring

Agile

Tools

PySpark

Kubernetes

Kafka

Airflow

Databricks

dbt

AWS

S3

Job description

HelloFresh Canada is seeking a Senior ML Engineer to join the Benefits Personalization Squad. You will own data infrastructure powering personalized customer experiences and collaborate with data scientists, engineers, and product stakeholders to deliver value at scale.

You’ll work with cloud-based data pipelines and modern tech like PySpark, Kubernetes, Kafka, Databricks, and dbt, while leveraging AI tools to boost productivity and outcomes.