Platform Engineer owning AWS, Kubernetes, observability, and Linux edge infrastructure. Improving reliability, automation, and developer workflows for Fleetworthy’s fleet - readiness technology.
About the role
- Senior ML Platform Engineer at RAVL focusing on building and scaling machine learning platforms for financial services. Engaging in developing ML pipelines and supporting MLOps workflows in cloud environments.
Responsibilities
- 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
Requirements
- Strong Databricks and Spark experience
- Experience building ML pipelines and workflows
- Proficiency in Python
- Cloud experience (Azure preferred)
- Familiarity with CI/CD and automation
- MLflow or similar tools (nice to have)
- Enterprise integration experience (nice to have)
- Strong builder and problem solver
- Detail-oriented and delivery-focused
- Collaborative
Benefits
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
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