Data Scientist

Overview

DataStunt is at the forefront of AI innovation, building next-gen AI solutions for content generation, data-driven decision-making, and automation. We specialize in Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Agentic AI, and Image Generation to push the boundaries of AI-powered applications.

Job Overview:

We are looking for a skilled Data Scientist with expertise in RAG, LLMs, Agentic AI, Image Generation Models, Fine-Tuning AI Models, and Databases. The ideal candidate should have hands-on experience in developing, fine-tuning, and deploying AI models, integrating LLMs with external knowledge sources, and building intelligent AI agents that drive real-world impact.

Key Responsibilities:

• Develop and optimize RAG pipelines by integrating LLMs with vector databases and knowledge graphs for contextual AI responses.
• Fine-tune LLMs (GPT, LLaMA, Mistral, etc.) to improve performance on domain-specific tasks.
• Work with agentic AI frameworks (LangChain, AutoGPT, CrewAI, etc.) to develop intelligent AI agents that can autonomously complete tasks.
• Develop and fine-tune image generation models (Stable Diffusion, DALL·E, Midjourney, etc.) for creative AI applications.
• Optimize model inference and efficiency, reducing latency and improving scalability for AI-powered applications.
• Implement and manage vector databases (FAISS, ChromaDB, Pinecone, Weaviate) for retrieval-augmented tasks.
• Work with structured and unstructured databases (SQL, NoSQL, graph databases) to store and retrieve AI-related data.
• Collaborate with engineering teams to deploy AI models into production using APIs, cloud platforms, and containerized environments.
• Stay updated with the latest advancements in AI research and propose innovative solutions for business applications.

Required Skills & Qualifications:

• 3-7 years of experience in AI/ML, Data Science, or a related field.
• Proficiency in Python (TensorFlow, PyTorch, Hugging Face, LangChain).
• Experience with RAG architectures, knowledge graphs, and vector search.
• Hands-on experience in fine-tuning LLMs for specific use cases.
• Familiarity with Agentic AI frameworks (LangChain Agents, CrewAI, AutoGPT).
• Experience with Image Generation models (Stable Diffusion, DALL·E, or custom GANs).
• Expertise in database management (SQL, NoSQL, Vector Databases like FAISS, Pinecone, Weaviate).
• Cloud computing experience (AWS, Azure, GCP) for deploying AI models.
• Strong problem-solving skills and ability to work in fast-paced environments.

Preferred Skills (Nice to Have):

• Experience in multi-modal AI (text + image models).
• Experience in prompt engineering and reinforcement learning with human feedback (RLHF).
• Knowledge of low-latency AI model inference techniques.
• Contributions to open-source AI projects or research publications.

What We Offer:

• Competitive salary & benefits
• Opportunity to work on cutting-edge AI projects
• Collaborative and innovative work culture
• Flexible working environment

Job Type: Full-time

Pay: ₹20,000.00 - ₹40,000.00 per month

Experience:

• Working: 1 year (Required)

Work Location: In person

Expected Start Date: 14/03/2025