Principal Machine Learning Engineer RAVL
Join RAVL as a Principal Machine Learning Engineer, specializing in scalable platform architecture and MLOps. Drive impactful projects in cloud-native machine learning solutions.
RAVL is expanding its engineering team and looking for seasoned ML professionals. In this pivotal role, you'll develop and design scalable machine learning platforms, leveraging Azure Databricks and best practices in MLOps. Your expertise will directly contribute to the efficient management of models in enterprise environments, delivering measurable business value.
Key Responsibilities
Lead the development of ML platforms on Azure
Design feature engineering and monitoring systems
Establish MLOps pipelines for robust workflows
Integrate with enterprise identity and governance
Optimize ML workload performance and cost
Requirements
Proven experience in building ML/data platforms
Expertise in Azure Databricks (Spark, MLflow)
Strong backend engineering skills (Python/Scala/Java)
Experience with distributed systems
Knowledge of enterprise integrations and security
Shape the future of ML technology at RAVL, delivering innovative solutions that matter.
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