Production ML Engineer — AI Systems & MLOps

Kinvie; Canada; Hybrid; CAD 139,000 - 181,000; Full time

Benefits offered by this job

Bonus Structure

Employer-paid Benefits Plan

Health & Wellness Flex Account

Wellness Days

Paid Holiday Shutdown

Wave Days (extra vacation days in the夏

Wave Days (extra vacation days in the夏

Job summary

Wave is seeking a hands-on Machine Learning Engineer to design, train, and deploy scalable ML systems that power our fintech products in production. You will work across data ingestion, model governance, and observability to ensure reliability and impact.

Ideal candidates have 3–5 years of production ML experience, strong cloud and MLOps skills, and a track record of delivering production-ready models in FinTech contexts. This role offers competitive compensation and benefits.

Qualifications

• 3–5 years of professional ML engineering experience with production deployments.
• Strong data stack knowledge and data ingestion, curated warehouses.
• Programmable cloud exposure in AWS and ML tooling.

Responsibilities

• Develop & Deploy ML models and ensure reliable production performance.
• Champion coding, testing, and MLOps standards across pipelines.
• Scale ML/AI use cases balancing maintenance and modern systems.
• Collaborate with risk, product, and software teams to translate needs into specs.
• Establish governance with lineage and privacy considerations.
• Build observability for model health and business value metrics.

Skills

Model deployment

Data pipelines

AWS SageMaker

Airflow

MLOps tools

Governance

Communication

FinTech experience

Databricks/Redshift

Tools

Databricks

Redshift

SageMaker

Airflow

MLflow

Kubeflow

SageMaker Feature Store

Job description

Wave is seeking a hands-on Machine Learning Engineer to design, train, and deploy scalable ML systems that power our fintech products in production. You will work across data ingestion, model governance, and observability to ensure reliability and impact.

Ideal candidates have 3–5 years of production ML experience, strong cloud and MLOps skills, and a track record of delivering production-ready models in FinTech contexts. This role offers competitive compensation and benefits.