Gen AI SME

Your role
Are you an Agentic Thinker Do you possess skillset of a visionary Generative AI SME to lead the design, development, and deployment of cutting-edge generative AI solutionsAre you passionate about solving complex business challenges At UBS, we re-imagine the way we work, the way we connect with each other our colleagues, clients and partners and the way we deliver value. Being agile will make us more responsive, more adaptable, and ultimately more innovative. In this role, you will have an opportunity to drive innovation by leveraging large language models (LLMs), diffusion models, and other generative architectures to solve complex business challenges. You will act as the technical authority for generative AI, guiding teams in implementing ethical, scalable, and impactful AI-driven products. Further we re looking for Gen AI SME to have the following Technical & Functional knowledge: architect, train, and fine-tune generative AI models (e. g. , GPT, DALL-E, Stable Diffusion, Llama, BERT) for applications such as content generation, conversational AI, code automation, and data synthesis lead R&D initiatives to improve model performance, efficiency, and alignment with business goals evaluate and adapt emerging frameworks (e. g. , LangChain, Hugging Face Transformers) partner with product, engineering, and business teams to integrate generative AI into workflows (e. g. , chatbots, document automation, creative tools) translate business requirements into technical specifications for generative AI use cases optimize generative models for latency, cost, and scalability using techniques like quantization, distillation, and GPU/TPU acceleration deploy models on cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI) and edge devices implement safeguards to mitigate risks such as bias, misinformation, and harmful outputs ensure compliance with data privacy regulations (GDPR, CCPA) and ethical AI guidelines mentor junior engineers and data scientists on generative AI best practices publish research, contribute to patents, and represent the company at conferences/workshops build pipelines for data preprocessing, model training, and inference using tools like PyTorch, TensorFlow, and Kubeflow leverage MLOps practices for continuous integration, monitoring, and retraining Your team In our agile operating model, crews are aligned to larger products and services fulfilling client needs and encompass multiple autonomous pods. You ll be working in the Mainframe & Midrange Stream in India (Location - Hyderabad) focusing on Mainframe and Midrange Gen AI Journey . You will also work with the wider UBS AI elements in aligning some of our AI directive / policy and work with the Emerging technology and Modernization Team. Your expertise master s or PhD in Computer Science, Machine Learning, or related field (or equivalent experience) 5+ years in AI/ML development, with 3+ years focused on generative AI (LLMs, GANs, VAEs, etc. ) Proven track record of deploying generative AI solutions in production environments mandatory technical skills: deep expertise in generative architectures (GPT, Transformers, Diffusion Models) mandatory proficiency in Python, PyTorch/TensorFlow, and cloud platforms - experience with NLP tools (Hugging Face, spaCy) and vector databases (Pinecone, FAISS) preferred: knowledge of multimodal AI (text-to-image, video synthesis) experience with reinforcement learning (RLHF) for model alignment preferred familiarity with AI ethics frameworks (e. g. , AI Fairness 360) strong analytical and problem-solving skills, excellent communication and collaboration abilities, attention to detail and ability to work independently