Data Scientist

Key Responsibilities:

• Develop and implement NLP-focused ML/DL solutions to power innovative, AI-driven products and features.
• Build and optimize models for text classification, entity recognition, summarization, semantic search, and document understanding.
• Work with traditional ML algorithms (Logistic Regression, SVM, Random Forest, XGBoost, etc.) and deep learning models (RNN, LSTM, GRU, Transformers).
• Design and leverage embeddings for semantic similarity, clustering, and vector-based retrieval.
• Explore and integrate Generative AI techniques into NLP applications like summarization, Q&A, and conversational systems.
• Implement and optimize transformer architectures (BERT, RoBERTa, GPT, etc.) for real-world production workloads.
• Collaborate with cross-functional teams to collect, clean, and preprocess unstructured textual data.
• Deploy, monitor, and maintain models using MLOps best practices including c...