Deskripsi Pekerjaan
Are you passionate about building intelligent systems that 'see' and interpret the world? PT Azuba Indonesia Raya is seeking a highly motivated Computer Vision Engineer to join our innovative technical team in Bandung. As we scale our operations, we are looking for a creative problem solver who is eager to extract meaningful information from complex image and video datasets.
In this role, you will be at the forefront of our product development, working on challenging use cases that require cutting-edge machine learning and image processing techniques. You will have the autonomy to experiment with state-of-the-art models and the opportunity to see your algorithms deployed in real-world environments. If you thrive in a collaborative atmosphere and have a deep interest in visual data analytics, we want to hear from you.
Tanggung Jawab
- Design, develop, and deploy robust computer vision algorithms for image and video analysis.
- Pre-process large datasets, including image labeling, cleaning, and augmentation for model training.
- Collaborate with cross-functional teams to integrate vision solutions into existing software ecosystems.
- Optimize neural network architectures for performance, latency, and accuracy.
- Conduct deep analysis of model outcomes to troubleshoot issues and improve system reliability.
- Stay up-to-date with the latest research in deep learning, object detection, and segmentation.
- Document technical processes, model performance metrics, and deployment pipelines.
Kualifikasi
- Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field.
- Proven experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
- Strong proficiency in Python and familiarity with C++ for performance-critical tasks.
- Solid understanding of image processing libraries like OpenCV.
- Experience with object detection (YOLO, Faster R-CNN), classification, and segmentation models.
- Ability to work effectively in a contract-based team environment in Bandung.
- Strong analytical mindset and attention to detail when debugging model performance.