Position description:
The Head, Artificial Intelligence and Machine Learning Unit will play a pivotal role in advancing AI practice for both UNICC and its partner organizations. Following the framework provided by the Data and Artificial Intelligence Section (DDA), the incumbent will be in charge of formulating the enterprise strategy, identifying relevant AI use cases and developing implementation roadmaps.
Main responsibilities:
- Develop and implement a visionary AI strategy for UNICC partners, aligning it with the UN 2.0’s objectives
- Supervise the creation of state-of-the-art multimodal AI models, prioritizing scalability and using industry-leading benchmarks to empower data-driven decision-making and innovation
- Oversee the training of large-scale AI models. Managing the data pipelines, selecting appropriate algorithms, configuring parameters, and monitoring the training process to ensure efficiency and accuracy
- Optimize infrastructure to bolster the efficiency of AI inference, supporting applications and research initiatives to drive transformative outcomes across the organization and beyond
- Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation , elevatingstandards of output quality, diversity, coherence and ethical integrity
- Work closely with various business units and stakeholders to identify and scope potential use cases for Generative AI within the organization to foster innovation within UNICC and its partner agencies
- Collaborate seamlessly with cross-functional teams to ensure the integration of AI into UN partners objectives promoting synergies and amplifying impact.
Requisitos:
- Advanced university degree in Computer Vision (CV), Natural Language Processing (NLP), Speech Processing, Multimodal AI, Generative AI, or a closely related field
- PhD in Computer Vision (CV), Natural Language Processing (NLP), Speech Processing, Multi-modal AI, Generative AI, or a closely related field
- English: Expert knowledge is required
How to apply:
Información obtenida de: EURES. http://www.sepe.es/redEURES
Enlaces relacionados:
Información procedente de: Boletín de Empleo de Castilla y León (Ecyl).
