C1: AI/ML Data Platform — End-to-End ETL, NLP & Anomaly Detection

We need an experienced AI/ML engineering team to build a scalable data platform that ingests, processes, and analyzes large volumes of structured and unstructured data across mission-critical domains. The platform must support distributed ETL, NLP-based cleansing, anomaly detection via ML models, and real-time GIS sensor data processing. Key deliverables • End-to-end ETL pipelines using Apache Spark & Airflow • NLP/LLM integration for intelligent data cleansing • SVM-based anomaly detection models • Kubernetes-based deployment with MLflow model registry • GIS sensor processing & predictive analytics module PythonApache SparkPyTorchAirflowMLflowKubernetesAWS Lambda / Azure FunctionsspaCy