Machine Learning Engineer

Design and develop highly scalable, Real timesystems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive,Ranger, Kafka, Flink and Nifi) • Build robust data ingestion andtransformation frameworks using Java, Spark, Python, and shell scripting foringesting multi model data(image, audio, video, unstructured documents) withboth batch and real-time. • Develop full stack applications and internalengineering tools using Python, shell scripting, and modern web frameworks(e.g., Flask, React). • Collaborate closely with data scientists tooperationalize machine learning models using Cloudera Machine Learning (CML).

Mandatory skills • Hadoop ecosystem (Spark, Hive, Kafka, Flink, NiFi, Iceberg, Trino) • Java, Python, Spark (batch & real-time processing) • Data ingestion & transformation frameworks • Performance tuning on Hadoop platforms • Shell scripting • Real-time data processing systems • ML model operationalization (CML / Spark ML)