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Application Developer – AI Nutrition App

Twine

HybridHybrid

Original Job Summary

About the Role

Join an exciting project developing NutriaX, a mobile application that revolutionizes smart nutrition using advanced AI/ML.

Responsibilities

  • Review comprehensive project specifications and design requirements
  • Develop and implement AI/ML meal recognition and nutritional analysis features
  • Build core functionalities: calorie tracking, nutrient monitoring, weight progress, goal setting and hydration reminders
  • Ensure a modern, minimalist, and user-friendly interface
  • Assess technical feasibility, estimate MVP scope, and shape launch timelines
  • Integrate third-party APIs with secure data management
  • Communicate progress, challenges, and solutions clearly

Skills & Requirements

  • Mobile application development experience for iOS and Android platforms
  • Expertise in AI/ML, especially in image recognition and data analysis
  • Proficiency with frameworks like TensorFlow, PyTorch, Core ML, React Native, and Flutter
  • Strong understanding of UI/UX design principles
  • Experience integrating APIs and managing secure data storage
  • Strong problem-solving, communication, and documentation skills
  • Ability to work remotely and engage long-term

About Twine

Twine is a leading freelance marketplace connecting top freelancers, consultants, and contractors with companies worldwide. Trusted by Fortune 500 companies and innovative startups, Twine empowers global team scaling.

Key Skills/Competency

  • AI
  • Machine Learning
  • Mobile Development
  • iOS
  • Android
  • UI/UX
  • API Integration
  • Data Security
  • TensorFlow
  • React Native

How to Get Hired at Twine

🎯 Tips for Getting Hired

  • Customize your resume: Highlight mobile and AI/ML project experiences.
  • Showcase technical skills: Emphasize TensorFlow, React Native and API integration.
  • Research Twine: Understand their freelance marketplace ethos and mission.
  • Prepare for interviews: Review project feasibility and technical problem-solving examples.

📝 Interview Preparation Advice

Technical Preparation

Review mobile app frameworks like React Native.
Study TensorFlow and machine learning libraries.
Practice API integration and data security setups.
Brush up on iOS and Android specific development.

Behavioral Questions

Describe a challenging remote project experience.
Explain your problem-solving process in tech projects.
Discuss a past experience with cross-team collaboration.
Share how you manage project deadlines effectively.