
Posted a day ago
Data Scientist II
YubiData Scientist II
Requirements
2-4 years experience in ML, DL, and NLP, Proficiency in Python, Experience with TensorFlow, PyTorch, or Hugging Face, Knowledge of LangChain, LlamaIndex, or AutoGen, Familiarity with vector databases like FAISS or Pinecone, Experience with prompt engineering and fine-tuning
Skills
LLMPythonPyTorchLangChainAI
About the role
Responsibilities
- Develop, fine-tune, and deploy Large Language Models (LLMs) for chatbots, virtual assistants, and enterprise AI solutions.
- Build and optimize conversational AI solutions and implement LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, and LangGraph.
- Work on retrieval-augmented generation (RAG) and utilize vector databases such as FAISS, Pinecone, Weaviate, or ChromaDB.
- Optimize transformer-based models (GPT, LLaMA, Mistral, etc.) through prompt engineering and fine-tuning strategies.
- Design and develop ML/DL-based models to enhance natural language understanding.
- Develop APIs and pipelines to integrate AI models into enterprise applications using tools like FastAPI and Docker.
- Research and stay updated on the latest advancements in LLM architectures and Generative AI trends.
Requirements
- 2-4 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development.
- Strong proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
- Hands-on experience with LLM agent frameworks (LangChain, LlamaIndex, AutoGen, or LangGraph).
- Knowledge of vector databases and embedding models.
- Understanding of Prompt Engineering and LLM fine-tuning.
- Familiarity with cloud services (AWS, GCP, or Azure) and model deployment tools like Docker and FastAPI.
Preferred Qualifications
- Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis).
- 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.
Benefits
- 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.
About the Company
Yubi is redefining global debt markets by facilitating the flow of finance between borrowers, lenders, and investors. As a leading fintech unicorn, Yubi provides a holistic product suite for the discovery, investment, and fulfillment of debt solutions. We are a team of over 1,000 motivated individuals working to transform the global institutional debt market through technology.
ScoutJobs Agent
Get matches like this delivered daily
Sign up free — we'll pull jobs that fit your CV from across the web and rank them for you.
Get started — it's freeData Scientist II
Yubi · Bangalore
