Sr. Data Scientist

Key Skills

BTech/BE degree.
Proficiency in Python, data structures, and system design.
Experience with NumPy and Pandas.
Knowledge of neural networks like CNN, GANs, CGAN, Transformers, RNN, and LSTM.
Ability to fine-tune embedding models like SBERT and E5.
Experience with fine-tuning and quantizing LLMs using PyTorch/TensorFlow.
Understanding of natural language processing (NLP), recommender systems, part-of-speech tagging (POS), and named entity recognition (NER).
Skills in forecasting, classification, and regression techniques.

Roles & Responsibilities

Create Machine Learning (ML) models for different product needs.
Analyze client data to understand the data and the problems.
Manage data changes and model performance over time.
Improve embedding and large language models (LLMs).
Enhance retrieval-augmented generation (RAG) pipelines.
Develop feedback loops for ML models