Machine Learning Engineer

Build and optimize large-scale data processing systems, designing high-performance distributed, fault-tolerant infrastructure and ETL pipelines. Use Python with Spark and Ray to handle complex unstructured datasets and develop batch workflows for analytics and ML. Operationalize Large Language Models (e.g., OpenAI, Azure OpenAI) into production apps, including PII detection/redaction and prompt/fine-tuning evaluation. Ensure data quality, monitoring, and production reliability.