freehire launches on Product Hunt on 26 August.

Follow →

WaveApps

Discussion

Machine Learning Engineer

Summary

Build, deploy, and scale AI/ML models and pipelines for Wave’s fintech platform, ensuring reliability, governance, and integration with AWS and MLOps tools.

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:

  • Develop & Deploy: Focus on the hands-on building, training, and operational deployment of machine learning models, ensuring they perform reliably within existing production environments.

  • Champion Technical Standards: Advocate for top-tier practices across coding, testing, and MLOps processes. Navigate ambiguity autonomously to refine pipelines and elevate ML engineering workflows.

  • Optimize & Scale: Construct resilient, cost-efficient ML & AI use cases. Balance sustaining established models with accelerating the rollout of highly scalable, modern systems.

  • Partner & Collaborate: Team up with cross-functional stakeholders, including risk specialists, product leads, and software developers, to convert strategic needs into technical specs and smoothly embed ML features into live applications.

  • Establish Controls & Governance: Uphold stringent benchmarks for model dependability, fairness, and compliance. Direct the integration of lineage tracking and data protection workflows into our automated systems.

  • Track & Evaluate: Formulate comprehensive observability systems to capture model health and key operational metrics, ensuring machine learning investments yield quantifiable organizational value.

You Thrive Here By Possessing the Following:

  • Experience: Minimum of 3–5 years of professional experience in machine learning engineering, with a proven track record of deploying models into production environments.

  • Technical Depth: Deep understanding of the modern data stack, including data ingestion workflows and experience working with curated data warehouses like Databricks or Redshift.

  • Cloud Proficiency: At least 3 years of hands-on experience with AWS infrastructure, specifically SageMaker, Spark/AWS Glue, and Infrastructure as Code (IaC), Terraform.

  • Orchestration Expert: High proficiency in managing multi-stage workflows using Airflow or similar orchestration systems to automate training and deployment cycles.

  • MLOps Toolkit: Practical experience with MLflow, Kubeflow, or SageMaker Feature Store to support the end-to-end machine learning lifecycle.

  • Governance Mindset: Familiarity with model governance practices (lineage, fairness, and privacy) and experience using data cataloging tools for compliance.

  • Communication: Strong ability to communicate complex technical concepts to non-technical stakeholders and influence project direction.

  • Industry Context: Experience in FinTech or Financial Risk environments is a significant advantage.

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 careers@waveapps.com. 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.
Show

What this application asks

lever

Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Other website

  • Full name
  • Are you located in Canada? choose one
  • Are you legally eligible to work in Canada with no restrictions (e.g. PR, open work permit, etc.)? choose one
  • Have you reviewed the posted salary range and are your expectations aligned with it? yes / no · optional
  • What is your desired salary? (Please write down a number) written answer
  • Prior to the live manager interview, all candidates are required to complete a secure identity verification. Please agree to this below. choose one
  • Every Wave hire is required to complete and clear a criminal check so that Wave can remain PCI compliant as an organization. By submitting this application, you acknowledge that, if hired by Wave, you agree to complete background checks, and you don't foresee any concerns in regards to obtaining positive results. yes / no · optional
  • If you were referred by a Wave employee, please provide the name of the person who referred you here. optional
  • If you require any type of accommodation during your interview process and/or while performing the role described above, please specify it here so that we can do our best to support you. written answer · optional

See also

5,169 jobs
Remote Canada jobs
9,504 jobs
Machine Learning jobs
100,682 jobs
AWS jobs
33,370 jobs
Terraform jobs
14,516 jobs
Remote Worldwide jobs
37,331 jobs
JavaScript jobs
54,834 jobs
TypeScript jobs
141,978 jobs
Python jobs
45,878 jobs
React jobs
6,352 jobs
Go jobs

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available