Artificial Intelligence Engineer (UAE National)

Emaratech; United Arab Emirates; On-site; AED 180,000 - 300,000; Full time

Job summary

Emaratech is seeking a senior-level AI strategy lead to shape the company’s AI and data science roadmap, guiding cross‑functional teams from ideation through deployment and evaluation. You will oversee model development for analytics, NLP, and computer vision, ensuring data quality and governance across initiatives.

The role emphasizes staying ahead of AI trends, delivering detailed progress reports to executives, and embedding responsible data practices within all projects.

Qualifications

• Bachelor’s or Master’s Degree in Computer Sciences / Data Science / AI.
• Strong background in machine learning, statistical analysis, and data visualization.

Responsibilities

• Develop a comprehensive AI and data science strategy aligned with company objectives and long‑term vision.
• Oversee development of machine learning models and algorithms for predictive analytics, NLP, and computer vision.
• Stay updated on AI trends and communicate insights and optimization opportunities to senior management.
• Ensure data privacy compliance and ethical handling of sensitive information throughout data science activities.

Skills

Machine learning

Statistical analysis

Data visualization

Education

Bachelor’s or Master’s Degree in Computer Science/Data Science/AI

Job description

AI Strategy and Vision

Develop a comprehensive AI and data science strategy that aligns with the company’s objectives and long‑term vision. Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making. Lead end‑to‑end project management of AI initiatives, from conception to deployment and post‑implementation evaluation. Collaborate with cross‑functional teams to define project scope, requirements, and deliverables.

Data Analysis and Modeling

Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer vision. Ensure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluation. Evaluate and select appropriate tools, technologies and frameworks for data analysis and modeling. Establish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholders. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products.

Innovation and Research

Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organization. Regularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior management. Use data‑driven insights to propose improvements and optimizations to existing processes.

Data Privacy

Ensure compliance with data privacy regulations and ethical guidelines throughout all data science activities. Implement data protection measures and maintain confidentiality of sensitive information. Identify potential risks and challenges associated with AI projects and data science initiatives.

Qualifications

Bachelor’s or Master’s Degree in Computer Sciences / Data Science / AI. Strong background in machine learning, statistical analysis, and data visualization.