Ai Data Scientist Generative Ai Agentic Llm Research

## About the role We are seeking innovative AI Data Scientists with a strong focus on Generative AI and Large Language Model (LLM) research. In this role, you will design, develop, and deploy advanced enhanced models, contributing to both applied research and production-ready AI solutions. You will collaborate with cross-functional teams to translate business needs into impactful AI-driven products, and remain at the forefront of advancements in generative modeling, NLP, and LLM technologies. ## Key Responsibilities - Design, develop, and optimize generative AI and LLM-based models for applications such as text generation, conversational AI, document summarization, and information retrieval. - Conduct research and stay current with the latest advancements in machine learning, NLP, NLU, NLG, and LLM architectures. - Implement, fine-tune, and experiment with state-of-the-art techniques, including Retrieval-Augmented Generation (RAG), prompt tuning, and knowledge graphs. - LLM Evaluation Research and build and deliver a process, applications and methodologies to evaluate LLMs to scale. - Build and maintain scalable data pipelines and cloud-based solutions to support model training and deployment. - Collaborate with engineers, product managers, and stakeholders to identify business opportunities and deliver customer-focused AI solutions. - Mentor junior data scientists and contribute to a culture of continuous learning and technical excellence. - Ensure robust documentation, quality assurance, and adherence to best practices in Responsible and Explainable AI. - Communicate complex technical concepts to both technical and non-technical audiences. ## Required Qualifications - Master's degree (or higher) in Computer Science, Data Science, Statistics, Mathematics, or a related field; PhD preferred. - 3+ years of experience in data science or machine learning, with a proven track record in generative AI or LLM-based solutions. - Strong programming skills in Python; familiarity with frameworks such as PyTorch, TensorFlow, JAX, and Scikit-learn. - Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and CI/CD tools. - Deep understanding of machine learning, deep learning, and NLP techniques, including experience with RAG, LLM fine-tuning, and prompt engineering. - Ability to design and implement large-scale data pipelines and work with a variety of structured and unstructured data sources. - Excellent communication, collaboration, and stakeholder management skills. ## Preferred Skills - Experience with vector databases, advanced indexing, and knowledge graph integration. - Familiarity with Responsible AI, model governance, and explainability best practices. - Experience working in Agile, cross-functional teams and mentoring junior colleagues. ## What We Offer - Opportunity to work at the cutting edge of Generative AI and LLM research, with access to state-of-the-art infrastructure and a collaborative, multidisciplinary team. - A dynamic environment where your work directly impacts product innovation and business outcomes. - Continuous learning, career growth, and the chance to shape the future of AI applications across industries.