Job Description

Roles & Responsibilities

Build and deploy NLP and LLM-based applications using Python, focusing on real-world use cases like text generation, summarization, sentiment analysis, and chatbot automation.

Develop and fine-tune Machine Learning and Deep Learning models for language understanding, classification, and named entity recognition (NER) tasks.

Implement text embedding techniques and manage vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search, document retrieval, and contextual knowledge grounding (RAG).

Create AI agents and conversational workflows capable of reasoning, memory handling, and dynamic tool usage using LangChain or LangGraph frameworks.

Design data preprocessing pipelines for tokenization, cleaning, and feature extraction to improve model accuracy and performance.

Integrate LLMs and NLP models with APIs, chat platforms, and internal tools to deliver scalable AI-driven solutions.

Write clean, efficient, and modular Python code to support model experimentation, evaluation, and continuous improvement.

Compliance & Security

Ensure data privacy, model security, and confidentiality in all NLP and AI workflows.

Safeguard all API keys, embeddings, and access tokens during model deployment.

Follow cybersecurity and data protection best practices in all AI projects.

Job Type: Internship
Contract length: 3 months

Pay: ₹1,000.00 - ₹2,000.00 per year

Work Location: In person