Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikit‑learn, XGBoost), including model deployment.
Exposure to building enterprise‑grade applications using large language models and frameworks (e.g., Hugging Face, LangChain).
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.

Machine Learning Engineer