Required Skills Machine Learning & AI foundations Strong grounding in ML fundamentals supervised/unsupervised learning, evaluation methodology, and model selection. Practical experience with deep learning frameworks (PyTorch and/or TensorFlow). Solid understanding of NLP and transformer architectures. Technical Expertise Strong expertise in Machine Learning, Deep Learning, NLP, Large Language Models (LLMs), and Generative AI. Hands-on experience with RAG, Vector Databases, Knowledge Graphs, AI