Production ML Engineer — AI Systems & MLOps Leader

Wave; Canada; Hybrid; CAD 100,000 - 130,000; Full time

Benefits offered by this job

Bonus Structure

Employer-paid Benefits Plan

Health & Wellness Flex Account

Wellness Days

Paid Holiday Shutdown

Wave Days

Job summary

Wave is hiring a Machine Learning Engineer in Canada to design, build, and deploy robust ML models and pipelines that power our fintech platform. You will collaborate across teams to ensure production-grade systems are reliable, scalable, and compliant.

You will own end-to-end ML life cycle—from data prep to model monitoring—while championing best practices in MLOps, governance, and observability, with a focus on impact and autonomy.

Qualifications

• Minimum 3–5 years of professional ML engineering experience.
• Proven track record deploying models to production.
• Experience with Databricks or Redshift data warehouses.
• Strong communication with non-technical stakeholders.

Responsibilities

• Develop & deploy ML models in production.
• Champion technical standards across ML engineering workflows.
• Optimize and scale ML & AI use cases.
• Collaborate with risk, product, and software teams to embed ML features.
• Establish governance with data lineage and privacy controls.
• Develop observability to monitor model health and metrics.

Skills

ML engineering

Production deployment

Stakeholder comms

FinTech domain

Tools

Databricks

Redshift

SageMaker

Airflow

MLflow

Kubeflow

Databricks

Terraform

Job description

Wave is hiring a Machine Learning Engineer in Canada to design, build, and deploy robust ML models and pipelines that power our fintech platform. You will collaborate across teams to ensure production-grade systems are reliable, scalable, and compliant.

You will own end-to-end ML life cycle—from data prep to model monitoring—while championing best practices in MLOps, governance, and observability, with a focus on impact and autonomy.