ML Engineer
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Monthly Salary:
Experience Required:
Posted on:
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Job Summary
- Experience working with ML platforms such as CML Spark MLlib and Python ML libraries (scikitlearn XGBoost) including model deployment.
- Design and develop highly scalable Real time systems using Hadoop ecosystem components(Iceberg Spark Ozone Trino Hive Ranger Kafka Flink and Nifi)
- Build robust data ingestion and transformation frameworks using Java Spark Python and shell scripting for ingesting multi model data(image audio video unstructured documents) with both batch and real-time.
- Develop fullstack applications and internal engineering tools using Python shell scripting and modern web frameworks (e.g. Flask React).
- Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
- Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.
Required Skills:
Experience working with ML platforms such as CML Spark MLlib and Python ML libraries (scikit learn XGBoost) including model deployment. Design and develop highly scalable Real time systems using Hadoop ecosystem components(Iceberg Spark Ozone Trino Hive Ranger Kafka Flink and Nifi) Build robust data ingestion and transformation frameworks using Java Spark Python and shell scripting for ingesting multi model data(image audio video unstructured documents) with both batch and real-time. Develop full stack applications and internal engineering tools using Python shell scripting and modern web frameworks (e.g. Flask React). Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML). Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.
Required Education:
Graduate
