Application Open:
Full-Time
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking a skilled client-facing AI Engineer to support external stakeholders and customers in leveraging MBZUAI’s AI products. This role involves collaborating with project owners, architects, designers, and engineers to ensure seamless deployment, usability, and performance of AI-based solutions.
The role will include providing technical guidance, troubleshooting AI implementations, conducting trial validations, and maintaining documentation. The AI Engineer will act as a bridge with external stakeholders, aligning AI innovations with real-world applications. A strong background in AI engineering, machine learning, or deep learning is essential, along with the ability to engage with diverse external partners in a dynamic, research-driven environment.
Key Responsibilities
Project Leadership:
- Oversee and support large-scale AI projects within the Client AI Engineering team, enhancing MBZUAI’s research and product capabilities.
- Drive the deployment of AI solutions, including SDKs and applications in NLP, Computer Vision, and Machine Learning, for both internal and external stakeholders.
Product Design Management:
- Lead the design and development of AI-based solutions, ensuring usability, performance, and seamless coordination across virtual teams.
Cross-Functional Collaboration:
- Work closely with AI project owners, architects, and engineers to define tasks, set milestones, and establish development timelines.
Implementation Oversight:
- Analyze high-level project goals and define detailed use cases to align AI solutions with external and internal stakeholders.
- Monitor AI solution deployment, validate trial outcomes, and ensure usability based on predefined success
Stakeholder Management
- Engage with commercial and academic stakeholders, translating complex AI solutions into practical applications while mentoring engineering teams.
- Work with external customers to refine project requirements, define clear scopes, and align deliverables with business and research objectives.
Academic Qualifications Required
- Bachelor’s or Master’s degree in Computer Science or Applied Mathematics or Physics, with a specialization in Machine Learning, Deep Learning, Natural Language, Processing, Computer Vision, Robotics, Software Engineering, Human-Computer Interaction, or related fields.
Professional Experience Required
Essential:
- 5+ years of product management experience, of which at least 3+ years should be with ML or DL systems or related digital platforms.
- Familiar with key functions and technologies in IT systems: AI process including training, job scheduling, hyperparameter tuning, and ML Ops, SAAS.
- Hands-on complex business product design experience for AI applications using NLP (Natural Language Processing), ML (Machine Learning) and CV (Computer Vision).
- Hands-on experience with at least one of the popular product design tools like Figma, Axure, etc.
- Strong problem-solving skills and patience for quality and efficiency
- Strong multitasking, prioritization, and communication skills, with experience in multidisciplinary teams.
Preferred:
- Experience in the full life cycle of development in at least one AI based
- Experience in higher education or research
- Ability to develop and manage relationships with industry and academic partners to enhance MBZUAI’s research initiatives.
- Strong English proficiency, with fluency in additional languages as a plus.
