Qureos

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As Head of AI (R&D), you will lead cross-functional teams to drive innovation in training multimodal large language models (LLMs), video foundation models, and other advanced AI systems. These models will be optimized for both cloud-based deployments and edge computing environments, ensuring scalability, efficiency, and real-world applicability. You will report directly to senior leadership and play a pivotal role in shaping the company's AI strategy, from research breakthroughs to production-ready solutions.

Key Responsibilities

  • Lead and mentor interdisciplinary teams of researchers, engineers, and data scientists to pioneer cutting-edge AI research and development.

  • Innovate on model architectures, training methodologies, and optimization techniques for multimodal LLMs (integrating text, image, audio, and video) and specialized video foundation models.

  • Scale the R&D team by recruiting top talent, fostering a collaborative culture, and implementing processes for efficient growth and knowledge sharing.

  • Oversee scalable training pipelines, including data curation, distributed computing strategies (e.g., using HPC clusters or cloud resources), and hyperparameter optimization to handle massive datasets.

  • Deliver high-quality, general-purpose models tailored to specific applications and use cases, ensuring they meet performance benchmarks for accuracy, latency, and resource efficiency on cloud and edge devices.

  • Collaborate with product, engineering, and deployment teams to transition research prototypes into production systems.

  • Stay abreast of industry trends, publish research findings, and represent the company at conferences or in partnerships.

  • Manage budgets, timelines, and resources for R&D projects, ensuring alignment with business objectives and pragmatic AI practices.

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