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Android ML Engineer - SDK/NDK/OpenCV

1.00 to 4.00 Years   Hyderabad   21 Dec, 2021
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

As a Mobile AI Engineer, you will be responsible for leading the development and launch of product features leveraging machine learning and artificial intelligence. You will have a significant influence on our overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product.The ideal candidate is clearly passionate about new opportunities in mobile and integrations of AI models in mobile products. Creating reliable, scalable, and high-performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, mobile technologies, and practical experience building customer-facing mobile products.Basic Requirements- Bachelors degree in Computer Science, Computer Engineering or related technical field- 1+ years of industry experience in building mobile applications - Expert knowledge of Java, JDK, Android SDK, NDK- Experience in TensorFlow Lite integration into android. - Should be able to produce user decipherable inference, given a TensorFlow Lite model with its architecture, input and output nodes- Experience in Building App using OpenCV and other image processing techniques - Advanced Android UI Skills (Fragments, Custom view components)- Experience writing multi-threaded and Networked apps- Expert level debugging and analysis skills using ADBPreferred Skill Set- Experience building products with Google ML Kit, Firebase ML- Masters degree in Computer Science, Computer Engineering or related technical field from a reputed college- Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations- Excellent communication, analytical and problem-solving skills,

Keyskills :
software development life cyclesoftware engineering practiceslife cycleandroid sdkproblem solvingcomputer sciencemachine learningimage processingcoding standardssystem architecturemobile applications

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