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About the Role
Launch your career to new heights at RAVL as a Senior ML Platform Engineer. Design robust, scalable ML platforms tailored for financial services clients.
As a part of RAVL's innovative engineering team, this role focuses on creating cloud-native machine learning platforms and implementing MLOps capabilities. You will be instrumental in the development of systems that enhance the model lifecycle management process and support high-performance ML workloads across enterprise clients.
Key Responsibilities: • Architect scalable ML platforms using Azure Databricks • Develop systems for model training and monitoring • Standardize MLOps pipelines for efficient deployments • Enhance Databricks with custom APIs and services • Collaborate on enterprise system integrations
Requirements: • Extensive experience in ML or data platforms • Proficient in Azure technologies, particularly Databricks • Solid backend engineering skills (Python/Scala/Java) • Familiar with distribut...
As a part of RAVL's innovative engineering team, this role focuses on creating cloud-native machine learning platforms and implementing MLOps capabilities. You will be instrumental in the development of systems that enhance the model lifecycle management process and support high-performance ML workloads across enterprise clients.
Key Responsibilities: • Architect scalable ML platforms using Azure Databricks • Develop systems for model training and monitoring • Standardize MLOps pipelines for efficient deployments • Enhance Databricks with custom APIs and services • Collaborate on enterprise system integrations
Requirements: • Extensive experience in ML or data platforms • Proficient in Azure technologies, particularly Databricks • Solid backend engineering skills (Python/Scala/Java) • Familiar with distribut...
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