1. Experience of model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS (Data Science Studio) environment would be a plus

2. Strong experience on Spark with Scala/Python/Java

3. Robust proficiency in building/training/evaluating state of the art machine learning models and its deployment

4. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering.

5. Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of and experience with LLMs, LSTMs, GRUs, transformers. Familiarity with recommender systems, reinforcement learning.

6.



Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib

7. Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.)

8. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence

9. Good understanding of any of the cloud platform AWS, Azure or GCP

10. Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus

📌 Data Scientist (Hyderabad)
🏢 Axtria
📍 Hyderabad