li>ML & Deep Learning: Transformer Architecture, Self-Attention, Tokenization, Embeddings, Chunking Strategies, Fine-Tuning Concepts (SFT, LoRA, QLoRA), RLHF, Neural Networks, Hallucination Detection,
Data Engineering: Handling structured & unstructured data, real-time data ingestion, Databricks, Apache Spark, Cloudera, S3, Data Pipeline Optimization. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies.