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Senior Data Scientist – LLM Expert
hace 2 días
* Decline will set your Cookie preferences to \"Required\" and will prevent Kyndryl and its partners from collecting and using Cookie data to collect statistics and to provide you a personalized web experience and more relevant ads on third party websites.**We’re looking for exceptional talent to join our AI Agentic Innovation Hub at Kyndryl** The AI Agentic Innovation Hub stands as Kyndryl’s center of excellence for advanced and agentic artificial intelligence. Our mission is to lead the design and deployment of transformative AI solutions that bridge frontier research with real-world impact — scalable, secure, and driven by measurable value. Built upon a team of exceptional talent and cutting-edge technology, the Hub embodies a spirit of bold innovation and disciplined execution — an elite unit within one of the world’s leading technology companies. With national reach and global ambition, we partner with major organizations to tackle their most complex challenges, pioneering the next generation of intelligent, autonomous, and trusted systems that redefine what AI can achieve. **Job Description**As a Senior Data Scientist specialized in Large Language Models at Kyndryl’s AI Innovation Hub, you’ll help shape the frontier of intelligent and agentic systems — turning cutting-edge research into real-world impact for some of the world’s most forward-thinking enterprises.
You’ll work with state-of-the-art technologies, foundation models, and emerging agentic frameworks to design, fine-tune, and deploy powerful LLM-based solutions that understand, reason, and generate language with purpose. In this role, you’ll collaborate closely with architects, ML engineers, and product teams to transform ideas into production-ready systems that redefine how organizations interact with knowledge and automation.**Essential Qualifications**4+ years of experience in AI model development, with at least 2 years focused onLLMs or advanced NLP systems. Hands-on experience developingRAG pipelinesandLLM-based reasoning architectures.
Experience
training or serving models onGPU/TPU environments(PyTorch, DeepSpeed, vLLM, Ollama). Familiarity withmulti-agent frameworksand orchestration systems (CrewAI, AutoGen, LangGraph, Google ADK). Knowledge ofResponsible AI and evaluation principles— safety, bias mitigation, factual alignment, and model interpretability.
Experience
deploying models inMLOps environments(MLflow, Vertex AI, Azure ML, OpenShift AI).**Education & Certifications****Preferred Skills**Experience withdistillation,quantization, andefficient inferencestrategies for scaling LLMs in production. Familiarity withsemantic search,retrieval frameworks, andknowledge-grounded generation. Ability to analyze research papers, prototype rapidly, and
