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خبير الذكاء الاصطناعي - Artificial Intelligence Expert

Ministry of Economy & Tourism
Dubai, UAE
Full Time
Senior
Onsite
2 weeks ago
Artificial IntelligenceMachine LearningAI GovernanceModel MonitoringPrompt EngineeringData Quality
Free

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Artificial IntelligenceMachine LearningAI Governance
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Job Purpose

  • Serve as an Artificial Intelligence (AI) expert within the Ministry's AI Department, responsible for ensuring the effective, ethical, and scalable deployment of AI systems across the Ministry's operations.
  • This role bridges the gap between AI technical capabilities and critical business needs through human centered oversight, AI governance, and continuous optimization.
  • The position combines deep technical expertise with business knowledge, stakeholder management, and change leadership to ensure AI applications remain sustainable and deliver measurable organizational value.

Key Responsibilities

  • Define and oversee AI ready data requirements, including training datasets, operational input data, and decision models, while ensuring data quality, consistency, and integrity.
  • Design and manage Human in the Loop (HITL) workflows to validate AI outputs before operational deployment.
  • Monitor AI model accuracy, confidence levels, and performance drift to maintain operational effectiveness and ensure service continuity.
  • Test and train AI agents using feedback mechanisms, prompt engineering, and supervised learning protocols.
  • Develop and implement AI governance frameworks, ethical guidelines, and compliance policies aligned with approved government regulations.
  • Participate in classifying AI applications according to their risk and impact levels and establish proportionate control measures.
  • Lead vendor oversight and contract governance to ensure technical ownership, transparency, and prevent vendor lock in.
  • Identify and mitigate AI related risks, including model bias, adversarial attacks, training data poisoning, and model performance degradation.
  • Design and lead AI awareness and education programs for developers, end users, and stakeholders.
  • Guide cross functional teams and coordinate multidisciplinary collaboration.
  • Translate technical capabilities and limitations of AI systems into practical recommendations.
  • Define and monitor AI model performance metrics and prepare periodic performance reports.

Qualifications & Experience

  • PhD in Computer Science, Artificial Intelligence, Engineering, Statistics, or a related field (no experience required).
  • Master's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field (minimum 3 years of relevant experience).
  • Bachelor's Degree in Computer Science, Artificial Intelligence, Computer Engineering, Statistics, or a related field (minimum 7 years of relevant experience).

Professional Certifications

  • Professional certification in AI and ML on cloud platforms (Google Cloud Professional ML Engineer, AWS ML Specialty, or Microsoft Azure AI Engineer Associate).
  • Certification in Large Language Models and Prompt Engineering (DeepLearning.AI Generative AI Specialization or Prompt Engineering Specialization).
  • Certification in AI Governance and Ethics (IAPP AI Governance Professional or ISO/IEC 42001 Lead Implementer).
  • Certification in Data Science and Data Engineering (IBM Data Science Professional Certificate or Databricks Data Engineer Associate).
  • Certification in AI Operations (MLOps) (MLflow MLOps Certified, Kubeflow Practitioner, or DataRobot MLOps).
  • Certification in AI Security and Adversarial AI (Certified AI Security Professional or OWASP AI Security).
  • Certification in Project Management and Change Leadership (PMP, PRINCE2, or Prosci Change Management).
  • Training course in Human in the Loop workflow design, AI model testing, and model drift evaluation.
  • Training course in AI data architecture, data mapping, and knowledge graphs.
  • Training course in AI model performance measurement.
  • Training course in information security fundamentals and data protection in government AI environments.

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