Fullstack Developer

Our client are a global telecommunication company within their AI Infrastructure Team.

Brief:

We are seeking a Full Stack Developer with a strong background in Android programming, C++, Python, CUDA, and web development, as well as experience in deploying deep learning models to mobile devices.

The candidate will be responsible for developing and researching alongside our team of researchers, creating prototype demos for web and mobile platforms, and contributing to both development work and documentation.

Responsibilities:

Develop high-quality, efficient, and reusable code for web and mobile applications.

Collaborate with cross-functional team members to define, design, develop and refine demo.

Work on both front-end and back-end development, ensuring the responsiveness and scalability of applications.

Collaborate with researchers to understand data requirements and deliver relevant datasets. Develop and maintain efficient data pipelines for both image and text data, ensuring data is processed, cleaned, and ready for analysis.

Create and maintain software documentation to ensure smooth communication and knowledge transfer within the team.

Troubleshoot and debug software issues, ensuring high-quality product delivery.

Key Requirements:

Proficiency in Android programming, including knowledge of Kotlin or Java.

Strong experience with C++ and Python programming languages.

Strong experience with deploying deep learning models to mobile platforms.

Experience with the image processing libraries such as OpenCV, PIL, or scikit-image.

Experience with machine learning frameworks such as TensorFlow or PyTorch.

Desirables:

Experience with CUDA programming for GPU acceleration.

Experience with web development technologies, including HTML, CSS, JavaScript, and frameworks such as React or Angular.

Experience with version control systems, such as Git.

Familiarity with containerization technologies such as Docker and Kubernetes.

Understanding of software development methodologies, including Agile and Scrum.

Master degree in Computer Science, Software Engineering, or a related field.