Job Description
Job Description
Our client is a prominent UAE-based organisation establishing a specialist artificial intelligence and analytics function to support innovation, operational improvement and evidence-based decision-making across the business.
The AI Engineer will design, develop, deploy and maintain artificial intelligence and machine-learning solutions that support organisational operations and decision-making. The role will be responsible for building reliable AI models, data pipelines and deployment workflows, ensuring solutions are scalable, secure, well documented and compliant with approved AI governance frameworks. The source JD states that the role is focused on AI and ML solution development, deployment, model performance, security, documentation and governance compliance.
Responsibilities
- Design, develop, test and deploy AI and machine-learning models.
- Build and maintain data pipelines, feature engineering workflows and model deployment processes.
- Translate AI and analytics requirements into practical technical solutions.
- Support integration of AI models into enterprise systems and operational workflows.
- Monitor AI model performance, accuracy, reliability and drift.
- Troubleshoot and resolve AI system, model and deployment issues.
- Optimise AI solutions for performance, reliability, scalability and maintainability.
- Provide technical input on AI architecture, tooling, platforms and engineering best practices.
- Support the evaluation of emerging AI technologies and approaches.
- Contribute to the scalability and future-readiness of AI solutions.
- Identify opportunities to improve efficiency, automation and model performance.
- Collaborate with AI analysts, data scientists, data engineering, IT, information security, data governance and business teams.
- Maintain documentation for AI models, code, deployment processes and lifecycle management.
- Support audits, reviews, model validation and governance readiness activities.
- Apply responsible AI practices, including fairness, explainability and appropriate model controls.
- Ensure AI solutions comply with data privacy, security, access-control and approved governance frameworks.
- Work with approved AI platform providers, cloud service providers, system integrators, technology vendors, consultants and research partners where required.
Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, Data Science or a related field.
- 3–6 years of experience in AI, machine learning, data engineering or software engineering roles.
- Hands-on experience developing and deploying AI or machine-learning models in enterprise environments.
- Strong Python skills and experience with AI frameworks such as TensorFlow, PyTorch or similar tools.
- Strong understanding of machine-learning algorithms.
- Experience with data engineering, feature engineering and model deployment.
- Knowledge of MLOps, model monitoring and lifecycle management.
- Experience with cloud or on-premise AI platforms.
- Understanding of AI security, privacy, responsible AI and model explainability.
- Familiarity with software engineering best practices.
- Experience in government, regulated or security-sensitive environments would be preferred.
- Relevant certifications in AI, machine learning, cloud platforms or MLOps would be advantageous.
- Advanced English and Arabic language skills.
- Strong analytical thinking, problem-solving, attention to detail, adaptability and professional ethics.
Candidate Profile
The successful candidate will be a hands-on AI engineering professional with the ability to build, deploy and maintain AI and machine-learning solutions in a secure and governed enterprise environment. They should combine strong technical capability with practical judgement, clear documentation standards and the ability to collaborate with analysts, data teams, IT, information security and business stakeholders. The role requires someone who can deliver reliable AI solutions while supporting responsible AI, model governance, data protection and continuous improvement.
Thank you for your application. Only suitable candidates will be contacted.
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