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Artificial Intelligence Developer

Emaratech

DubaiOn-site1mo ago

About the role

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

Requirements

  • Bachelor’s or Master’s Degree in Computer Sciences / Data Science/ AI
  • Minimum 5-8 years of experience in a similar environment
  • Industry certifications preferred
  • Strong background in machine learning, statistical analysis, and data visualization

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