Experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, MatplotlibProficiency in Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.)Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plusStrong proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, ClusteringExperience of working in large teams and using collaboration tools like GIT, Jira and ConfluenceGood understanding of any of the cloud platform – AWS, Azure or GCPUnderstanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plusShould be able to set up a practice which involves mentoring and guidingmid to large sized teamsContribute to business development efforts and organization buildingManage critical client discussions and storytellingSkills Required
Data Science, Gpm, Microsoft Azure, Natural Language Processing, Python