Transform financial services technology with RAVL as a Senior Machine Learning Engineer. Bring your expertise in designing scalable ML systems and cloud-native settings to life. As a Senior Machine Learning Engineer at RAVL, you'll focus on developing platforms that enhance client technology investments.
This role involves architecting solutions on Azure Databricks while building MLOps capabilities essential for managing the model lifecycle. Your technical leadership will guide project teams and elevate engineering standards across initiatives. Key Responsibilities:
Architect and build scalable ML platforms
Design end-to-end workflows for model training
Develop pipelines that standardize MLOps practices
Collaborate on enterprise system integrations
Optimize ML workloads for performance and cost Requirements:
Proven experience in large-scale ML systems
Expert-level knowledge of Azure and Databricks
Solid backend engineering skills (Python/Scala/Java)
Familiar with distributed data processing techniques
Excellent mentorship and leadership skills Leverage your machine learning expertise for impactful client solutions at RAVL.