Roles and Responsibilities Create innovative solutions using data across sales, health care, and related fields for building object detection models, classification models, recommendation engines, sentiment analysis, etc. Familiarity with deep learning algorithms and frameworks like TensorFlow, Pytorch, Keras. Good to go with NLP and NLTK Day-to-day responsibilities include use, customize and create algorithms/models for specific tasks in data science. Get exposed to and work on cutting-edge products based on ML and AI to create innovative industry solutions. Work on real-life projects involving Computer Vision, NLP, and other AI techniques, Using innovative ideas to collect, curate or synthesize data. Model the problem into an ML/DL framework. Deploy models to real-time staging servers. Flexibility in working independently and do needful research whenever required. Desired Candidate Profile Knowledge of Python Knowledge in libraries like OpenCV, Scikit Learn, NumPy, etc. Scripting Understanding of different frameworks like Pytorch, TensorFlow, Keras, etc. Knowledge on NLP Good Knowledge of OOP and programming in python adapting to requirement Understanding of AWS. Understanding of any annotation tool. Ability to write robust and testable code. Strong knowledge in computer science fundamentals, algorithms, mathematics, linear algebra, probability, and statistics. Strong communication skills. An analytical mind with problem-solving abilities. Degree in Computer Science, Mathematics, Computational Linguistics or similar field.