About the role

  • Platform Engineer developing robust data and ML platform components at Homebase. Collaborating with teams to enable data-driven features and ensure seamless integration.

Responsibilities

  • Design, develop, and optimize the ingestion of large volumes of structured and unstructured data from diverse sources.
  • Support data architecture transformation initiatives on Databricks, ensuring scalable and efficient systems.
  • Guide the design and implementation of platform components for the training, deployment, and monitoring of ML models in production environments.
  • Provide expertise on industry best practices, tools, and technologies in ML engineering.
  • Drive the continuous improvement of data and ML workflows through automation and innovative solutions.
  • Take full ownership of projects, ensuring successful delivery from planning to execution.
  • Collaborate with cross-functional teams to gather business requirements and translate them into effective technical solutions.

Requirements

  • 5+ years of software development experience, specializing in data and ML
  • Expertise in SQL, Python, and Databricks
  • Experience with Airflow, Kafka, and Redshift
  • Proficiency in data modeling and database design.
  • Proficient in building and deploying machine learning models (including language models)
  • Proficient in building model serving pipelines for batch, streaming, and real-time inference
  • Driving the operationalization of ML models, ensuring seamless deployment, monitoring, and continuous integration/continuous delivery (CI/CD) pipelines for ML systems.
  • Strong problem-solving skills with a strategic mindset and attention to detail
  • Effective communicator and collaborator across technical and non-technical stakeholders.

Benefits

  • Ownership & Savings: Stock options + TFSA/RRSP with 4% company match
  • Health & Wellness: Comprehensive medical, dental, and vision for you and your dependents
  • Time Flexibility: Flex time off + company holidays + designated focus periods
  • Family Support: Maternity/Parental Leave EI top-up support offered (after 6 months of service)
  • Work Your Way: Work From Anywhere Month + meeting-free weeks yearly
  • Protection Plans: Life insurance + short/long-term disability coverage
  • Workspace Perks: Meals provided, team offsites, and Customer Days
  • Our Hybrid Rhythm: We believe collaboration drives impact. That’s why Tuesday and Wednesday are our required in-office days.

Job title

Data & ML Platform Engineer

Job type

Experience level

Mid levelSenior

Salary

CA$133,500 - CA$205,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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