Data scientist 2 LLM
Yubi
About Us
Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility.
From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products
Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles.
Job Description
About the job
Job Title: Data Scientist 2 (LLM/GenAI)
Location: Bangalore
Experience: 2 - 4 years
Employment Type: Full-time
Job Summary:
We are looking for a highly skilled Data Scientist (LLM) to join our AI and Machine Learning team. The ideal candidate will have a strong foundation in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs), along with hands-on experience in building and deploying conversational AI/chatbots. The role requires expertise in LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph. You will work closely with cross-functional teams to drive the development and enhancement of AI-powered applications.
Key Responsibilities:
- Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions.
- Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development.
- Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph.
- Design and develop ML/DL-based models to enhance natural language understanding capabilities.
- Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications.
- Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc. for domain-specific tasks.
- Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance.
- Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications.
- Develop APIs and pipelines to integrate LLMs into enterprise applications.
- Research and stay up to date with the latest advancements in LLM architectures, frameworks, and AI trends.
Required Skills & Qualifications:
- 2-4 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development.
- Hands-on experience in developing and deploying conversational AI/chatbots is Plus
- Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, Hugging Face Transformers.
- Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph.
- Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models.
- Understanding of Prompt Engineering and Fine-tuning LLMs.
- Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale.
- Experience in working with APIs, Docker, FastAPI for model deployment.
- Strong analytical and problem-solving skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Good to Have:
- Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.).
- Knowledge of Knowledge Graphs and Symbolic AI.
- Understanding of MLOps and LLMOps for deploying scalable AI solutions.
- Experience in automated evaluation of LLMs and bias mitigation techniques.
- Research experience or published work in LLMs, NLP, or Generative AI is a plus.
Why Join Us?
- Opportunity to work on cutting-edge LLM and Generative AI projects.
- Collaborative and innovative work environment.
- Competitive salary and benefits.
- Career growth opportunities in AI and ML research and development.