Data Scientist

Deep knowledge of machine learning algorithms, statistics, and data modeling techniques

Proficiency in Sagemaker, JupyterNotebooks, ML, AI, Deeplearning, Python, Frameworks like PyTorch, Tensor. Ecosystems like Huggingface, Practices like MLOps

Experience with ML development and MLOps on cloud services (AWS).

Strong experience with SQL/NOSQL and familiarity with handling large datasets, data preprocessing, and feature engineering.

Excellent ability to clearly communicate complex data science concepts to technical and non-technical stakeholders.

Demonstrated expertise in deploying, managing, and monitoring advanced NLP and LLM models- Deep expertise in transformer architectures, prompt engineering, semantic search techniques, and generative AI applications.