R
Ravl Io11d ago

Principal Platform Engineer, Machine Learning

TorontoFull Time Permanentlead
EngineeringData ScienceDevOps & InfrastructureMachine Learning EngineerData & AIDevops Engineer
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Quick Summary

Overview

RAVL is a boutique technology advisory and engineering firm focused on the financial services industry.

Technical Tools
EngineeringData ScienceDevOps & InfrastructureMachine Learning EngineerData & AIDevops Engineer

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 growing our engineering team and hiring ML Platform Engineers to design and build scalable machine learning platforms across clients. This includes developing cloud-native ML infrastructure, enabling MLOps capabilities, and supporting end-to-end model lifecycle management in enterprise environments.

These roles include both immediate project needs and pipeline hiring for upcoming engagements, with a focus on building reliable, production-grade ML systems at scale.

  • Architect and lead development of ML platforms on Azure Databricks
  • Design systems for training, feature engineering, model serving, and monitoring
  • Build and standardize MLOps pipelines (CI/CD for ML, model versioning, deployment workflows)
  • Extend Databricks with custom services, APIs, and integrations
  • Integrate with enterprise systems (IAM, secrets, observability, governance)
  • Optimize performance, scalability, and cost efficiency of ML workloads
  • Define platform standards and engineering best practices
  • Mentor engineers and guide technical direction
  • Deep experience building ML or data platforms at scale
  • Strong expertise with Azure + Databricks (Spark, MLflow, jobs, clusters)
  • Experience with MLOps tooling and model lifecycle management
  • Strong backend engineering (Python/Scala/Java)
  • Experience with distributed systems and data processing
  • Familiarity with enterprise integrations (identity, security, observability)
  • Kubernetes and containerized ML workloads
  • Feature stores and real-time inference systems
  • Platform-first and systems-oriented
  • Strong ownership and technical leadership
  • Pragmatic with a focus on scalability
  • 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
  • Location & Eligibility

    Where is the job
    Toronto
    Hybrid — some on-site time required
    Who can apply
    Same as job location
    Listed under
    Worldwide

    Listing Details

    Posted
    April 19, 2026
    First seen
    April 19, 2026
    Last seen
    May 1, 2026

    Posting Health

    Days active
    11
    Repost count
    0
    Trust Level
    30%
    Scored at
    May 1, 2026

    Signal breakdown

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    R
    Principal Platform Engineer, Machine Learning