Python Programming, Strong data structures and algorithmic skills. Supervised & Un Supervised learning algorithms including Computer vision libraries. Data Visualization libraries. Good to have Skills: Reinforcement Learning & Transformer models. Model deployments using Flask etc. Excellent working knowledge in building tools/products using artificial intelligence technologies Machine learning/Deep learning and NLP Machine learning techniques for classification, regression, clustering, text analytics, deep learning using Python scikit, R. Working knowledge on apply statistics, machine learning, analytical approaches, algorithms on large data sets-Ability to define problem, feature engineering, building, models and deploy them in production