Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Large Language Models (LLM). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc.Proficiency in cloud platforms like GCP, including experience with deploying AI applications.

Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization. Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.