At a Glance
- Tasks: Lead AI strategy and innovation, driving business value through cutting-edge technologies.
- Company: Join a forward-thinking organisation at the forefront of AI development.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with top talent and drive ethical AI practices across industries.
- Why this job: Shape the future of AI and make a significant impact in a dynamic environment.
- Qualifications: Master’s or PhD in AI or related field with 10+ years of leadership experience.
The predicted salary is between 72000 - 108000 £ per year.
The Chief AI Officer (CAIO) / Head of AI is a senior executive responsible for defining and leading the artificial intelligence strategy of an organization. This role ensures that AI technologies are effectively leveraged to drive business innovation, enhance operational efficiency, and deliver strategic value. The CAIO collaborates with C-level executives, data scientists, engineers, and business teams to implement AI initiatives aligned with company objectives.
Key Responsibilities
- Develop and execute the organization’s AI strategy and roadmap.
- Lead the AI research and development team, including data scientists, machine learning engineers, and AI researchers.
- Identify business opportunities where AI can add value and drive innovation.
- Oversee AI model development, deployment, and monitoring across products and services.
- Ensure AI systems adhere to ethical standards, regulatory compliance, and data governance policies.
- Collaborate with IT, product, and business teams to integrate AI solutions into operations.
- Evaluate emerging AI technologies and tools to maintain competitive advantage.
- Present AI strategy, progress, and insights to the board of directors and stakeholders.
- Promote AI literacy and adoption within the organization.
Qualifications
Education
- Master’s or PhD in Artificial Intelligence, Computer Science, Data Science, Machine Learning, or a related field.
Experience
- 10+ years of experience in AI, data science, or machine learning roles, including leadership experience.
- Proven track record of leading AI projects from research to deployment.
- Experience in developing enterprise-level AI strategies and managing AI teams.
- Knowledge of AI ethics, data privacy, and regulatory compliance in AI applications.
Skills & Competencies
- Strong strategic thinking and business acumen.
- Expertise in machine learning, deep learning, natural language processing (NLP), computer vision, and other AI technologies.
- Excellent leadership, communication, and stakeholder management skills.
- Ability to translate complex AI concepts into actionable business insights.
- Experience with AI platforms and frameworks (TensorFlow, PyTorch, Keras, etc.).
Preferred / Additional Skills
- Experience in cross-industry AI applications (finance, healthcare, retail, etc.).
- Knowledge of cloud AI platforms (AWS AI/ML, Azure AI, Google Cloud AI).
- Record of publications or patents in AI research is a plus.
- Experience with AI governance, model risk management, and ethical AI frameworks.
Optional Certifications
- Certified Artificial Intelligence Practitioner (CAIP)
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
Chief AI Officer / Head of AI employer: Malaysia Carbon Market Association
As a leading innovator in the field of artificial intelligence, our company offers an exceptional work environment that fosters creativity and collaboration. With a strong commitment to employee growth, we provide ample opportunities for professional development and advancement, alongside a culture that values ethical AI practices and innovation. Located in a vibrant tech hub, our team enjoys access to cutting-edge resources and a network of industry leaders, making it an ideal place for those looking to make a meaningful impact in the AI landscape.
Contact Details:
Malaysia Carbon Market Association Recruitment Team
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