ML Engineer
Posted Updated
Description
- 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.