Job Description
Dubai’s future is being shaped by pioneers in technology, and this is your opportunity to lead AI innovation at one of the region’s most influential family holding groups. This is not just another AI role – this is about driving the next wave of transformation, leveraging the latest advancements in 2025 AI technology, including Generative AI, multimodal LLMs, and enterprise-grade automation.
This group is deeply invested in technology-driven growth, spanning multiple industries, from real estate and retail to financial services and logistics. As the Senior AI Lead, you will be at the forefront of shaping AI-powered strategies, ensuring that the business stays ahead of the curve in an era defined by intelligent automation and next-generation machine learning models.
What You Will Do:
- Develop and implement AI-driven solutions, leveraging the latest breakthroughs in GenAI, self-improving neural networks, and edge AI computing.
- Architect and scale AI infrastructure for data-driven decision-making across multiple sectors, embedding AI at the core of business strategy.
- Work with the latest 2025 AI technologies, including multi-agent systems, generative design, autonomous AI agents, and hyper-personalization engines.
- Integrate AI across the organization’s diverse verticals, optimizing customer experience, operational efficiency, and revenue generation.
- Lead and mentor an elite AI team, fostering a culture of innovation, experimentation, and rapid iteration.
- Collaborate with global AI leaders, research institutions, and technology partners to ensure continuous evolution and adoption of the most cutting-edge AI solutions.
What We Are Looking For:
- Deep expertise in AI, ML, and GenAI, with a proven track record of deploying production-ready AI applications in large-scale environments.
- Strong knowledge of multimodal LLMs, reinforcement learning, AI governance, and ethics in AI decision-making.
- Experience with AI-powered automation tools, autonomous systems, and real-time generative applications for customer engagement.
- Ability to blend AI with business strategy, driving tangible results across multiple industries.
- Leadership experience in AI teams, with a passion for fostering innovation and building high-performance AI ecosystems.
Skills
Technical Skills
- Machine Learning (ML) Algorithms – Deep understanding of supervised, unsupervised, and reinforcement learning.
- Deep Learning – Expertise in neural networks, CNNs, RNNs, transformers, and generative models.
- Natural Language Processing (NLP) – Experience with LLMs, text embeddings, and chatbots.
- Computer Vision – Proficiency in image recognition, object detection, and generative AI for images.
- AI Model Development & Optimization – Knowledge of model fine-tuning, pruning, and efficiency improvements.
- Data Science & Analytics – Ability to extract insights from data and build predictive models.
- Big Data Technologies – Experience with distributed computing frameworks like Hadoop, Spark, and Databricks.
- MLOps & AI Infrastructure – Deploying, monitoring, and maintaining AI models in production environments.
- Cloud AI & Computing – Familiarity with AI tools in AWS, Azure, and Google Cloud.
- Edge AI & IoT – Experience with AI applications for edge devices and real-time decision-making.
Programming & Engineering Skills
- Python & R – Strong proficiency in AI-focused programming languages.
- TensorFlow & PyTorch – Mastery in deep learning frameworks.
- SQL & NoSQL Databases – Ability to handle structured and unstructured data.
- APIs & AI Integrations – Experience developing and integrating AI-powered APIs.
- Cybersecurity in AI – Knowledge of AI security threats and mitigation strategies.
AI Strategy & Leadership
- AI Strategy & Roadmap Development – Defining AI vision and implementation plans.
- Ethical AI & Bias Mitigation – Ensuring fairness, transparency, and responsible AI practices.
- Regulatory Compliance & AI Governance – Knowledge of GDPR, CCPA, and emerging AI regulations.
- AI Risk Management – Identifying risks in AI deployment and setting up control mechanisms.
- AI for Business Transformation – Aligning AI initiatives with business goals and digital transformation.
Leadership & Management Skills
- AI Team Leadership – Managing data scientists, ML engineers, and AI specialists.
- Stakeholder Communication – Bridging the gap between technical teams and business leaders.
- Cross-functional Collaboration – Working with product, engineering, and business teams for AI integration.
- Project & Resource Management – Ensuring AI initiatives meet deadlines and budgets.
- Talent Development & Upskilling – Training AI teams and fostering a culture of continuous learning.
Emerging & Niche AI Skills
- Generative AI & LLMs – Expertise in ChatGPT, GPT-4, BERT, and generative models.
- AI & Blockchain – Understanding the intersection of AI and decentralized systems.
- Quantum Machine Learning (QML) – Awareness of quantum computing’s impact on AI.
- Synthetic Data Generation – Creating artificial data for model training and privacy protection.
- AI-Powered Decision-Making – Leveraging AI for executive decision support and automation.
