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Machine Learning Engineer

Wave HQ · Canada

Extracted from the posting

Base
Not stated
Remote
Remote
Stack
AWS, SageMaker, Terraform, Airflow

Machine Learning Engineer building, deploying and monitoring foundational ML and AI models and pipelines for analytics and business intelligence. Work involves AWS SageMaker, Spark/Glue, Terraform, Airflow orchestration, and Databricks or Redshift data warehouses. Requires 3-5 years of ML engineering with production deployments and model governance practices such as lineage and fairness.

At Wave, we help small businesses to thrive so the heart of our communities beats stronger.  We work in an environment buzzing with creative energy and inspiration. No matter where you are or how you get the job done, you have what you need to be successful and connected. The mark of true success at Wave is the ability to be bold, learn quickly and share your knowledge generously.


As a

Machine Learning Engineer

, you will be a key contributor to the design, development, and deployment of our foundational AI and ML models. You will build robust, scalable machine learning pipelines and platforms that support advanced analytics and business intelligence. This role is perfect for an experienced person who wants to ensure our ML systems are efficient, reliable, and deeply integrated into our organizational goals.

Here's How You Make an Impact:

    You Thrive Here By Possessing the Following:

      At Wave, we value diversity of perspective. Your unique experience enriches our organization. We welcome applicants from all backgrounds. Let’s talk about how you can thrive here!

      Wave is committed to providing an inclusive and accessible candidate experience. If you require accommodations during the recruitment process, please let us know by emailing [email protected]. We will work with you to meet your needs.

      We use Google Gemini, a secure AI assistant, during interviews for note-taking purposes only. Notes are kept confidential and are not shared outside the hiring process. This allows our interviewers to stay fully focused on you during the conversation.

      This advertised posting is a current vacancy.

      Compensation: CAD 100,000 – 120,000 per year salary

      Technologies

      AWSSageMakerTerraformAirflowDatabricksRedshiftMLflowKubeflowSparkAWS Glue
      Wave HQ
      Wave HQ

      Job details

      TypeFull-time
      Work ModeRemote
      LevelMid Level
      LocationCanada
      PostedNov 06, 2026
      Apply Now

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