Role Summary We are seeking skilled Machine Learning Engineers to design, develop, and optimize real-time, scalable ML and data ingestion systems using modern ML frameworks and the Hadoop ecosystem. You will collaborate closely with data scientists and engineering teams to operationalize machine learning models and build robust data and ML pipelines for our projects with our various clientele. Key Responsibilities ML System & Framework Development: Design and develop highly scalable, real-time data systems using Hadoop ecosystem components (Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink, NiFi). Build robust data ingestion and transformation frameworks for multi-model data (image, audio, video, unstructured documents) using Java, Spark, Python, and shell scripting (batch and real-time). Develop full-stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React). ML Model Operationalization: Collaborate with data ...