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Mobile AI / ML - React Native & Tensaflow Developer

YEO MessagingGreater London, England, United Kingdom

6 days ago

Job type

Full-time

Job description

1. Job Title and Position Overview

Title : React Native & TensorFlow Developer (Mobile AI / ML)
Role Summary : We are seeking a skilled developer with expertise in React Native for mobile application development and TensorFlow for machine learning integration. The developer will be responsible for creating responsive, user-friendly mobile applications with embedded ML models to enhance functionality and user experience.

2. Key Responsibilities

React Native Development : Build and maintain cross-platform applications using React Native for both iOS and Android platforms, ensuring seamless UI and UX.

Machine Learning Model Integration : Integrate and deploy machine learning models within mobile applications using TensorFlow or TensorFlow Lite.

Collaboration with Data Scientists : Work closely with data scientists to understand ML requirements, assist in model selection, and optimize models for mobile deployment.

Optimization and Performance : Ensure app and ML model performance are optimized for mobile devices, managing memory, processing power, and battery usage.

Debugging and Troubleshooting : Identify, troubleshoot, and resolve app and model integration issues, maintaining smooth performance across platforms.

Stay Updated : Keep up with advancements in React Native, TensorFlow, and ML to implement cutting-edge features and best practices.

3. Required Technical Skills

React Native Proficiency : Strong knowledge of React Native, including components, navigation, and state management.

TensorFlow Knowledge : Experience with TensorFlow and TensorFlow Lite, specifically for deploying ML models to mobile applications.

JavaScript / TypeScript : Proficiency in JavaScript and / or TypeScript, with a focus on React Native development best practices.

Native Module Integration : Familiarity with native module development (e.g., Android / Java and iOS / Swift) to bridge custom components if needed.

ML Model Optimization : Skills in quantization, pruning, and other model optimization techniques to improve model performance on mobile devices.

RESTful APIs and Networking : Ability to connect apps to RESTful APIs, handle data parsing, and manage server-side integration.

Version Control : Proficiency with Git and GitHub / GitLab for collaborative development.

4. Additional Skills (Preferred)

TensorFlow.js : Knowledge of TensorFlow.js for potential cross-platform applications or web integration.

Familiarity with Edge AI : Understanding of on-device ML, including privacy-preserving techniques.

Testing Frameworks : Experience with unit and integration testing tools for React Native (Jest, Detox) and ML model validation.

Performance Monitoring : Knowledge of tools for monitoring and improving mobile app and model performance in production (e.g., Firebase, Sentry).

Database Management : Experience with local data storage solutions, such as SQLite, Realm, or Firebase.

5. Qualifications and Experience

Education : Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience.

Experience Level : 3-5 years of mobile app development experience, with at least 1-2 years working with machine learning models in a production setting.

Portfolio : Demonstrable portfolio or GitHub repositories showcasing React Native projects with integrated TensorFlow models.

6. Soft Skills

Analytical Thinking : Ability to analyze and optimize ML model performance for mobile environments.

Communication : Strong communication skills to effectively collaborate with data science and back-end teams.

Team Collaboration : Experience working in Agile teams, with the ability to adapt to project needs.

Attention to Detail : A commitment to delivering high-quality code and minimizing technical debt.

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React Native Developer • Greater London, England, United Kingdom

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