{"id":2906264,"url":"https://alion.io/job/yubi-data-scientist-ii-2","title":"Data Scientist -II","company":{"id":20330,"name":"Yubi","domain":"go-yubi.com","url":"https://alion.io/company/yubi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":38000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"FAISS","optional":false},{"name":"Falcon","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Mistral","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"Weaviate","optional":false},{"name":"Multimodal AI","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-20T07:54:22Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-23T16:40:17Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Yubi\nYubi, formerly known as CredAvenue, is redefining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plentiful, and we equip you with the tools to seize them.\nIn March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million.\nIn 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest, and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance.\nYubi Credit Marketplace- With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements.\nYubi Invest- Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income \nFinancial Services Platform- Designed for financial institutions to manage co-lending partnerships & asset-based securitization\nSpocto- Debt recovery & risk mitigation platform\nAccumn- Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals, and Predictions to Lenders, Investors, and Business Enterprises\nSo far, we have onboarded over 17,000+ enterprises and 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore.\nBacked by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed, and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment.\nAt Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story.\nAbout the job\nJob Title: Data Scientist 2 (LLM/GenAI)\nLocation:Bangalore\nExperience:2 - 4 years\nEmployment Type:Full-time\nJob Summary:\nWe seek 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 frameworkssuch as LangChain, LlamaIndex, AutoGen, and LangGraph. You will work closely with cross-functional teams to drive the development and enhancement of AI-powered applications.\nKey Responsibilities:\nDevelop, fine-tune, and deploy Large Language Models (LLMs)for various applications, including chatbots, virtual assistants, and enterprise AI solutions.\n\nBuild and optimize conversational AI solutionswith at least 1 yearof experience in chatbot development.\n\nImplement and experiment with LLM agent development frameworkssuch as LangChain, LlamaIndex, AutoGen, and LangGraph.\n\nDesign and develop ML/DL-based modelsto enhance natural language understanding capabilities.\n\nWork on retrieval-augmented generation (RAG)and vector databases(e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications.\n\nOptimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc.,for domain-specific tasks.\n\nDevelop and implement prompt engineering techniquesand fine-tuning strategiesto improve LLM performance.\n\nWork on AI agents, multi-agent systems, and tool-use optimizationfor real-world business applications.\n\nDevelop APIs and pipelines to integrate LLMs into enterprise applications.\n\nResearch and stay up-to-date with the latest advancements in LLM architectures, frameworks, and AI trends.\n\nRequirements\nRequired Skills & Qualifications:\n2-4 years of experiencein Machine Learning (ML), Deep Learning (DL), and NLP-based model development.\n\nHands-on experiencein developing and deploying conversational AI/chatbots is Plus\n\nStrong proficiency in Pythonand experience with ML/DL frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.\n\nExperience with LLM agent development frameworkslike LangChain, LlamaIndex, AutoGen, LangGraph.\n\nKnowledge of vector databases(e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models.\n\nUnderstanding of Prompt Engineeringand Fine-tuning LLMs.\n\nFamiliarity with cloud services (AWS, GCP, Azure)for deploying LLMs at scale.\n\nExperience in working with APIs, Docker, FastAPI for model deployment.\n\nStrong analytical and problem-solving skills.\n\nAbility to work independently and collaboratively in a fast-paced environment.\n\nGood to Have:\nExperience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.).\n\nKnowledge of Knowledge Graphsand Symbolic AI.\n\nUnderstanding of MLOpsand LLMOpsfor deploying scalable AI solutions.\n\nExperience in automated evaluation of LLMsand bias mitigation techniques.\n\nResearch experience or published work in LLMs, NLP, or Generative AIis a plus.\n\nBenefits\nWhy Join Us?\nThis is an opportunity to work on cutting-edge LLM and Generative AI projects.\n\nCollaborative and innovative work environment.\n\nCompetitive salary and benefits.\n\nCareer growth opportunities in AI and ML research and 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