About the Role: We are looking for a candidate with strong foundational knowledge in machine learning and deep learning, including architectures such as encoder–decoder models, transformers, CNNs, and GANs, along with a solid understanding of core algorithms like classification (generative and discriminative), regression, clustering, and dimensionality reduction. The ideal candidate should have a firm grasp of mathematical fundamentals, including probability and statistics, linear algebra, and optimization techniques, as well as strong proficiency in data structures and algorithms. Expertise in Python is essential, with hands-on experience using libraries such as Scikit-learn, SciPy, NumPy, Pandas, Matplotlib, and TensorFlow; familiarity with C/C++ or Java is a plus. A solid understanding of natural language processing (NLP) is required, and experience with large language models (LLMs) is preferred. In addition to technical skills, the candidate should possess excellent written and ver...