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RAVL

Platform Engineer, Machine Learning

Posted 2 Days Ago
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Hybrid
Toronto, ON, CAN
Senior level
Hybrid
Toronto, ON, CAN
Senior level
RAVL is seeking Senior ML Platform Engineers to build and scale machine learning platforms, develop ML pipelines, and support MLOps workflows in cloud environments.
The summary above was generated by AI

RAVL is a boutique technology advisory and engineering firm focused on the financial services industry. Everything we do is centered on helping our clients realize measurable ROI from their technology investments.

We’re hiring Senior ML Platform Engineers (Contract) to contribute to building and scaling machine learning platforms across a range of client engagements. This work includes developing ML pipelines, extending platform capabilities, and supporting MLOps workflows in cloud environments.

These roles support both active delivery and upcoming opportunities, offering the chance to work on modern, production-grade ML systems.

What does success look like in this role?

  • Build and extend ML platform components on Databricks
  • Develop ML pipelines for training, deployment, and monitoring
  • Implement reusable workflows aligned with platform architecture
  • Integrate with enterprise tooling and services
  • Support performance, reliability, and observability

Great, do my skills fit?

  • Strong Databricks and Spark experience
  • Experience building ML pipelines and workflows
  • Proficiency in Python
  • Cloud experience (Azure preferred)
  • Familiarity with CI/CD and automation

Nice to have skills

  • MLflow or similar tools
  • Enterprise integration experience

Mindset Traits

    • Strong builder and problem solver
    • Detail-oriented and delivery-focused
    • Collaborative

Why join RAVL?

  • Flexible, client-aligned work model — autonomy with accountability, adapting to client delivery needs
  • Variable bonus & RRSP contributions tied to performance and delivery impact.
  • 4 weeks paid time off (plus public holidays)
  • Paid professional development days and continuous learning opportunities
  • Comprehensive health & dental coverage, including mental health support
  • Commitment to lifelong learning — continuous improvement through training, mentorship, and certification

 Compensation & hiring process
We are recruiting for a current opportunity. Final offers are based on experience, skills, and qualifications. As part of our hiring process we may use technology, including AI-based tools, to help summarize and assess applications; these tools assist our team and do not replace human review or decision-making.
 
Equal Opportunity & Accessibility
RAVL is an equal opportunity employer committed to building a diverse, inclusive, and accessible workplace. We welcome applications from all qualified individuals and provide accommodations throughout the hiring process upon request.

Top Skills

Azure
Ci/Cd
Databricks
Mlops
Python
Spark
HQ

RAVL Toronto, Ontario, CAN Office

Toronto, Ontario, Canada

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