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Responsibilities
- Review and analyze the comprehensive project specifications, including features, technical architecture, and design requirements
- Develop and implement AI/ML-powered features for meal recognition and nutritional analysis from images and label scans
- Build core app functionalities: calorie and nutrient tracking, weight monitoring, goal setting, and hydration reminders
- Ensure a modern, minimalist, and user-friendly interface in line with provided design references
- Collaborate on technical feasibility assessments and provide detailed MVP estimates and launch timelines
- Integrate third-party APIs and ensure data security and privacy compliance
- Communicate progress, challenges, and recommendations clearly throughout the project
- Proven experience in mobile application development for iOS and Android platforms
- Strong expertise in AI/ML, particularly in image recognition and data analysis
- Proficiency with relevant frameworks and tools (e.g., TensorFlow, PyTorch, Core ML, React Native, Flutter)
- Solid understanding of UI/UX principles and ability to deliver visually appealing, intuitive interfaces
- Experience integrating APIs and managing secure data storage
- Ability to assess project feasibility, estimate MVP scope, and suggest realistic timelines
- Excellent problem-solving, communication, and documentation skills
- Availability for remote collaboration and potential long-term engagement
Twine is a leading freelance marketplace connecting top freelancers, consultants, and contractors with companies needing creative and tech expertise. Trusted by Fortune 500 companies and innovative startups alike, Twine enables companies to scale their teams globally.
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Twine's mission is to empower creators and businesses to thrive in an AI-driven, freelance-first world.
Key Skills
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