The Principal Platform Engineer will design and build scalable ML platforms, develop cloud-native infrastructure, and manage the model lifecycle in enterprise environments, focusing on MLOps capabilities and mentoring engineers.
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.
What does success look like in this role?
- 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
Great, do my skills fit?
- 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)
Nice to have skills
- Kubernetes and containerized ML workloads
- Feature stores and real-time inference systems
Mindset Traits
- Platform-first and systems-oriented
- Strong ownership and technical leadership
- Pragmatic with a focus on scalability
Why work at 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 future opportunity. The salary range for this role is $150,000–$190,000 CAD, reflecting expected base pay. Total compensation may also include additional pay such as bonuses or incentives, depending on the position, and 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.
RAVL Toronto, Ontario, CAN Office
Toronto, Ontario, Canada
Similar Jobs
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Lead business analysis and functional requirements for Canadian life insurance policy administration system implementations. Facilitate workshops, document product and regulatory requirements, translate specifications into configuration rules, data definitions, integrations, acceptance criteria, and test scenarios. Support solution design, configuration validation, defect resolution, data conversion, reconciliation, and implementation readiness across annuities, segregated funds, and permanent life insurance products. Collaborate with business, actuarial, operations, technology, and delivery teams.
Top Skills:
Data MigrationEnd-To-End TestingPolicy Administration Systems (Pas)System Integration
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Conduct and scale life-cycle assessments across Pfizer’s product portfolio, including data collection, validation, modeling, carbon-impact analysis, consultant coordination, and interpretation of results. Translate findings into business recommendations for packaging, transportation, product sustainability, tenders, and other decisions. Develop reusable datasets, processes, methodologies, and digital solutions while collaborating with technical and nontechnical stakeholders.
Top Skills:
Artificial Intelligence (Ai)AutomationLca DatabasesLca Modeling ToolsLife Cycle Assessment (Lca)Product Carbon Footprinting (Pcf)
Artificial Intelligence • Marketing Tech • Software
Lead measurement, monitoring, and diagnostic reporting for AI-powered personalization models. Build scalable data pipelines in GCP and BigQuery, develop automated alerts, support A/B testing, and create Tableau visualizations. Evaluate recommender systems and propensity models using statistical and predictive analytics, integrate insights into AI products, and communicate findings to technical and non-technical stakeholders while mentoring junior team members.
Top Skills:
A/B TestingAWSBigQueryData PipelinesGCPMachine Learning Model MonitoringPredictive AnalyticsPythonRedshiftSQLStatistical ModelingTableau
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
