- Experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib
- Proficiency 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 plus
- Robust proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering
- Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence
- Good understanding of any of the cloud platform – AWS, Azure or GCP
- Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus
- Should be able to set up a practice which involves mentoring and guidingmid to large sized teams
- Contribute to business development efforts and organization building
- Manage critical client discussions and storytelling

📌 Director - Data Science (Gurugram)
🏢 Axtria
📍 Gurugram