Machine Learning Engineer
External
Techcom (singapore) · SingaporePrepare for this interview
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About the role
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)
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Company Intel
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