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Mobile App Developer

5.00 to 7.00 Years   Riyadh, Saudi Arabia   01 Oct, 2024
TAHAKOM
1 Jobs Openings
Job LocationRiyadh, Saudi Arabia
EducationNot Mentioned
SalaryNot Mentioned
IndustryIT Services
Functional AreaNot Mentioned

Job Description

Job Overview:We are seeking a highly skilled Mobile Application Developer with expertise in both native Android development (Kotlin/Java) and cross-platform development using Flutter. The ideal candidate will have hands-on experience integrating AI-driven functionalities, specifically TensorFlow Lite, into mobile applications. You will work on building and optimizing mobile applications, ensuring they deliver excellent performance, real-time inferencing capabilities, and a seamless user experience. This role involves close collaboration with UI/UX designers and back-end developers, as well as leading code reviews and mentoring junior developers.Key Responsibilities:

  • Develop and maintain native Android applications using Kotlin or Java.
  • Build and maintain cross-platform applications using Flutter for Android and iOS.
  • Integrate and deploy TensorFlow Lite models into mobile applications for on-device inferencing and AI-driven functionalities.
  • Optimize mobile applications for performance, real-time inferencing, and responsiveness.
  • Write clean, maintainable, and well-documented code
  • Collaborate with UI/UX designers and back-end developers to implement new features and improvements.
  • Conduct thorough testing, troubleshooting, and debugging to ensure a seamless user experience.
  • Ensure scalability, security, and maintainability of mobile applications.
  • Implement unit testing and performance testing to ensure the reliability and efficiency of applications.
  • Mentor the team and explain development concepts to team members
  • Participate in code reviews to ensure best practices and coding standards are followed.
  • Stay updated on industry trends and incorporate new technologies as needed, particularly in AI inferencing for mobile devices.
Requirements:
  • Proven experience in both Flutter and native Android development.
  • Hands-on experience integrating TensorFlow Lite models for on-device inferencing in mobile applications.
  • Proficiency in Dart for Flutter, and Kotlin or Java for Android development.
  • Strong knowledge of mobile app architecture, UI/UX principles, and state management.
  • Experience with RESTful APIs, third-party libraries, and version control systems.
  • Strong understanding of performance optimization techniques specific to mobile inferencing.
  • Familiarity with Agile/Scrum development methodologies

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