Transform financial services technology with RAVL as a Senior Machine Learning Engineer. Bring your expertise in designing scalable ML systems and cloud-native environments 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
- Robust 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.