Data Scientist

Minimum experience of 5+ years with very good proficiency in Python and libraries like Pandas, Numpy, Sklearn etc., Good knowledge of ML models development using classification, regression and clustering. Should have excellent knowledge and experience of developing models using Deep learning (TensorFlow, Keras, PyTorch) and Neural Networks. Good knowledge of NLP and related frameworks. Building solutions with GenAI and various LLM models for specific use cases. Experience in data preparation, clean up techniques and also be good at analyzing data. Ability to interpret model validation using relevant metrics. Fine tune and retrain existing models (BERT, NLP/Spacey) and manage the re-training pipeline. Proficiency in data visualization frameworks such as Matplotlib or Seaborn. Knowledge of AWS cloud environment like ECS fargate, lambda and serverless. Ability to build and deploy models in AWS cloud environment, look into security aspects. Collaborate with Product Owners, business stakeholders and DevOps. Familiar with agile scrum process.