Lead Principal Data Scientist AI Research

Lead Principal Data Scientist

We are seeking a Principal Data Scientist Generative AI & NLP to lead our research and development efforts in cutting-edge AI technologies including Large Language Models (LLMs) multimodal AI and agentic systems. This role is ideal for a seasoned AI researcher and technologist with a strong publication record deep algorithmic expertise and hands-on experience in building and optimizing large-scale AI systems under real-world constraints. You will play a pivotal role in setting the research direction leading high-impact publications and driving the development of scalable production-ready AI solutions that power next-generation products.

Key Responsibilities

• Research Leadership
  • Define and drive the research roadmap in LLMs multimodal AI and Generative AI.
  • Lead the authoring and publication of top-tier research papers (e.g. NeurIPS ICML ACL CVPR).
  • Stay at the forefront of AI advancements and translate research into practical scalable solutions.
• Algorithm & System Design
  • Design and optimize novel algorithms for generative modeling NLP and agentic AI under system and compute constraints.
  • Lead the development of high-performance training pipelines for large-scale models including distributed training and inference optimization.
• Product & Platform Development
  • Architect and implement end-to-end GenAI systems including prompt orchestration retrieval-augmented generation (RAG) and agentic workflows.
  • Collaborate with engineering product and data science teams to integrate AI solutions into production environments.
  • Build and maintain highly scalable backend microservices and real-time inference systems on cloud platforms (AWS GCP Azure).
• Mentorship & Collaboration
  • Mentor junior scientists / engineers in GenAI best practices and research methodologies.
  • Work cross-functionally to align AI initiatives with business goals and customer needs.

Required Qualifications

• Ph.D. or Masters in Computer Science Machine Learning Mathematics Computational Linguistics or a related field.
• 10 15 years of industry and/or academic experience in AI/ML with 7 years in NLP and Generative AI.
• Demonstrated leadership in publishing top-tier research such as NeruralIPS ICLR ICML AAAI and CVPR in LLMs multimodal models or related areas.
• Proven experience in large-scale model training optimization and deployment.
• Expertise in Python with proficiency in frameworks such as Hugging Face Transformers TensorFlow PyTorch Keras JAX.
• Deep understanding of LLMs multimodal AI embedding models vector databases and agentic AI.
• Experience with MLOps/LLMOps tools (e.g. MLflow Weights & Biases DVC SageMaker Vertex AI).
• Strong system design skills including distributed systems data pipelines and API development.