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 DatabricksDesign systems for training, feature engineering, model serving, and monitoringBuild and standardize MLOps pipelines (CI/CD for ML, model versioning, deployment workflows)Extend Databricks with custom services, APIs, and integrationsIntegrate with enterprise systems (IAM, secrets, observability, governance)Optimize performance, scalability, and cost efficiency of ML workloadsDefine platform standards and engineering best practicesMentor engineers and guide technical directionGreat, do my skills fit?Deep experience building ML or data platforms at scaleStrong expertise with Azure + Databricks (Spark, MLflow, jobs, clusters)Experience with MLOps tooling and model lifecycle managementStrong backend engineering (Python/Scala/Java)Experience with distributed systems and data processingFamiliarity with enterprise integrations (identity, security,



observability)Nice To Have SkillsKubernetes and containerized ML workloadsFeature stores and real‐time inference systemsMindset TraitsPlatform‐first and systems‐orientedStrong ownership and technical leadershipPragmatic with a focus on scalabilityWhy work at RAVL?Flexible, client‐aligned work model — autonomy with accountability, adapting to client delivery needsVariable bonus & RRSP contributions tied to performance and delivery impact4 weeks paid time off (plus public holidays)Paid professional development days and continuous learning opportunitiesComprehensive health & dental coverage, including mental health supportCommitment to lifelong learning — continuous improvement through training, mentorship, and certificationCompensation & Hiring ProcessWe 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 Chance & AccessibilityRAVL 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.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr

📌 Principal Platform Engineer, Machine Learning (Toronto)
🏢 RAVL
📍 Toronto