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Mobile App Developer

2 months ago

Jakarta, Indonesia PT BioKissed Naturals Indonesia Full time

**1. Technical Skills**

**Core Mobile Development Skills**
- **Proficiency in React Native**:

- Strong understanding of React Native components, hooks, navigation, and animation libraries.
- Experience with cross-platform development, ensuring apps perform seamlessly on both iOS and Android.

**Machine Learning and Computer Vision**
- **Machine Learning**:

- Experience with frameworks such as TensorFlow, PyTorch, or Core ML for integrating machine learning models into mobile apps.
- **Computer Vision, Image Processing, and Object Detection**:

- Knowledge in computer vision techniques, including image processing, object detection, and recognition.
- Experience with image processing, including techniques for color detection and comparison.
- Experience with libraries such as OpenCV, TensorFlow Lite, or similar for implementing real-time object detection, image analysis, and color-based feature extraction on mobile platforms.

**Back-End Knowledge**
- **PHP and Laravel**:

- Solid understanding of back-end development using PHP and the Laravel framework.
- Experience in creating and integrating APIs that connect mobile apps with back-end services.
- **WordPress and WooCommerce**:

- Knowledge of WordPress and WooCommerce, particularly in integrating mobile apps with these platforms.
- Ability to customize and extend WordPress and WooCommerce functionalities to suit mobile app needs.

**2. Experience**
- **Professional Experience**:

- Typically 2-5 years of experience in mobile app development, with a strong focus on React Native and relevant back-end technologies.
- Demonstrated experience in machine learning, particularly in deploying computer vision and object detection models on mobile apps.
- **Portfolio**:

- **API Development and Integration**:

- Experience in developing and integrating RESTful APIs, would be great if including those that support complex machine learning models and computer vision tasks.
- **Agile Methodologies**:

- Experience working in Agile or Scrum environments, collaborating with cross-functional teams is a plus.

**3. Soft Skills**
- **Problem-Solving**:

- Strong analytical and problem-solving skills, especially in optimizing performance for mobile apps that use machine learning and computer vision.
- **Communication**:

- Fluent in English, both in conversation and writing, to ensure clear and precise communication across all aspects of the project.
- Ability to explain technical concepts, particularly in machine learning and computer vision, to non-technical stakeholders in an easy-to-understand manner.
- **Collaboration**:

- Experience working in a team-oriented environment, collaborating with front-end, back-end, and data science teams.
- **Continuous Learning**:

- A strong desire to stay updated with the latest developments in mobile development, machine learning, and computer vision.
- **Adaptability**:

- Ability to adapt to new technologies, frameworks, and project requirements as needed.

**4. Educational Background**
- **Degree**:

- A degree in Computer Science, Software Engineering, or a related field is not mandatory. We value real-world experience and proven skills over formal education.
- **Certifications**:

- Optional certifications in mobile development, machine learning, or specific technologies like React Native or Laravel can be a plus.

**5. Nice-to-Have Skills**
- **UI/UX Design Understanding**:

- Familiarity with design tools like Figma, Sketch, or Adobe XD, and a good understanding of mobile UI/UX principles.
- **DevOps Knowledge**:

- Experience with CI/CD pipelines, automated testing, and app deployment processes.
- **Native App Development**:

- Knowledge of native iOS (Swift) or Android (Kotlin) development for cases where deeper integration with platform-specific APIs is required.
- **Security Best Practices**:

- Understanding of mobile security best practices, including data encryption, secure authentication, and compliance with relevant privacy laws.

**Education**:

- SMA/SMU/SMK (preferred)

**Language**:

- English (preferred)

Application Deadline: 09/13/2024