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Research Scientist - AI / ML
VIPANY GLOBAL SOLUTIONS PRIVATE LIMITEDBangalore30+ days ago
Job descriptionGenAI, Python coding Research-level knowledge of LLMs, vision transformers (ViTs), diffusion models, RL, or multi-agent systems RAG & Vector Databases : Expertise in building and querying knowledge bases using Retrieval-Augmented Generation with Azure AI Search or similar technologies LLM Fine-Tuning : Hands-on experience with efficient finetuning techniques (LoRA / QLoRA) for specializing models on custom datasets Proficiency with libraries for data transformation and comparison, such as JSON Patch and DeepDiff Quantum Computing : Understanding of quantum algorithms and tools like IBM's Qiskit and Google's Cirq. Familiarity with Multimodal transformers - integrating text, image, and audio data to create models Experience on graph-based RAGs for contextual reasoning and incorporating knowledge connections from graph neural networks. Real time RAG systems to handle dynamic and up-to-date information Track record of research (papers, patents, open have skills : LLM & RAG Architecture Expertise : (Must have for 30 and 29 differentiating factor will be level of expertise) Hands-on experience with Retrieval-Augmented Generation (RAG) architectures using embeddings via Azure AI Search and Databricks. Proficient in implementing semantic search capabilities. Familiar with MCP servers for scalable deployment. Agentic AI & Orchestration : (Must have for 30 and 29 differentiating factor will be level of expertise) Experience with autonomous decision support using LangGraph. Skilled in agent orchestration using Microsoft Copilot Studio and CrewAI. Performance Optimization : (Must have for 30 and 29 differentiating factor will be level of expertise) Working knowledge of latency reduction techniques for RAG-based applications, including Redis-based caching. LLM Fine-Tuning : (Must have for 30 and 29 differentiating factor will be level of expertise) Practical understanding of fine-tuning methods such as LoRA (Low-Rank Adaptation). Model Selection & Prompting : (Must have for 30 and 29 differentiating factor will be level of expertise) Awareness of the latest LLMs tailored to specific use cases (e.g., Claude, Gemini, GPT series). Understanding of prompt engineering requirements across different models. Cost Estimation : (Must have for 30 and 29 differentiating factor will be level of expertise) Ability to calculate and optimize costs for API-based model usage. Functional / Team experience (Must have for 29 and 30) Expertise with diverse AI uses cases - Must for Grade 30 and 29 Business and Domain Understanding : Must for Grade 30 and 29 Track record of research (papers, patents, open source) Client management for SG31 & Sg30
Job title : AI / ML Research Scientist
Exp : 18 to 23years
Location : Bangalore
Key Responsibilities :
- Drive research and development in LLMs, Vision Transformers (ViTs), Diffusion Models, Reinforcement Learning (RL), and Multi-Agent Systems
- Architect and implement RAG-based knowledge systems using vector databases like Azure AI Search, Databricks, or similar
- Fine-tune LLMs using techniques like LoRA / QLoRA for domain-specific applications
- Design and develop real-time RAG systems for dynamic, context-aware decision making
- Utilize graph-based RAG techniques and Graph Neural Networks (GNNs) for enhanced contextual reasoning
- Integrate multimodal transformers combining text, image, and audio data
- Lead performance optimization efforts using Redis caching, semantic indexing, and latency reduction techniques
Key Skills :
(ref : hirist.tech)
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Research Scientist • Bangalore