Artificial Intelligence Engineer (UAE National)

Emaratech

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Work arrangement
On-site
Occupation
Software & IT
Location
Dubai, Dubai, AE
Compensation
Not disclosed
Apply by
April 14, 2027

About this role

<h2>AI Strategy and Vision</h2><ul>
<li>Develop a comprehensive AI and data science strategy that aligns with the company’s objectives and long-term vision.</li>
<li>Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making.</li>
<li>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.<br>
</li>
</ul><h2>Data Analysis and Modeling</h2><ul>
<li>Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer vision.</li>
<li>Ensure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluation.</li>
<li>Evaluate and select appropriate tools, technologies and frameworks for data analysis and modeling.</li>
<li>Establish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholders.</li>
<li>Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products</li>
</ul><h2>Innovation and Research</h2><ul>
<li>Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organization.</li>
<li>Regularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior management.</li>
<li>Use data-driven insights to propose improvements and optimizations to existing processes</li>
</ul><h2>Data Privacy</h2><ul>
<li>Ensure compliance with data privacy regulations and ethical guidelines throughout all data science activities.</li>
<li>Implement data protection measures and maintain confidentiality of sensitive information.</li>
<li>Identify potential risks and challenges associated with AI projects and data science initiatives</li>
</ul><h2>Requirements</h2><ul>
<li>Bachelor’s or Master’s Degree in Computer Sciences / Data Science/ AI</li>
<li>Strong background in machine learning, statistical analysis, and data visualization</li>
</ul>

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