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Develop full‑stack applications and internal engineering tools using Python, shell scripting and modern web frameworks (e.g., Flask, React).
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
Experience in ML Frameworks & Libraries – XGBoost, Scikit‑learn, Tensor Flow/keras, Hugging face (NLP/NLQ/Gen AI use cases)
Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikit‑learn,XGBoost), including model deployment
Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).