AI/ML Computer Vision Engineer
Seeking a Computer Vision Engineer to build scalable AI solutions using Python, Go, OCR, PyTorch/TensorFlow, and Docker.
About The Company
Our client is a leading financial services company in Indonesia, leveraging data and artificial intelligence to build scalable digital products. Backed by a strong engineering culture, they are investing in AI talent to deliver impactful solutions across multiple business functions.
Job Responsibilities
If this opportunity aligns with your experience and aspirations, I'd love to hear from you. Apply now or send your CV to [email protected]
Our client is a leading financial services company in Indonesia, leveraging data and artificial intelligence to build scalable digital products. Backed by a strong engineering culture, they are investing in AI talent to deliver impactful solutions across multiple business functions.
Job Responsibilities
- Design, develop, and deploy production-grade computer vision solutions for real-world business applications.
- Fine-tune, optimize, and maintain machine learning models to improve performance, scalability, and accuracy.
- Build and enhance image data pipelines, including preprocessing, augmentation, validation, and evaluation.
- Write clean, scalable, and well-tested code while contributing to best practices for AI software development and deployment.
- Manage and improve deployment environments to support reliable delivery of computer vision applications.
- Minimum 4 years of experience in Computer Vision development.
- Strong programming skills in Python and Go.
- Experience with image processing libraries such as OpenCV, Pillow, or equivalent.
- Hands-on experience with object detection models (e.g. YOLO, Faster R-CNN, or similar frameworks).
- Familiarity with OCR technologies and end-to-end document/image processing pipelines.
- Experience training and fine-tuning deep learning models using PyTorch or TensorFlow.
- Solid understanding of machine learning fundamentals with practical experience using scikit-learn.
- Proficiency with Docker for development, model training, and deployment workflows.
- Strong software engineering practices, including code quality, testing, documentation, and version control.
If this opportunity aligns with your experience and aspirations, I'd love to hear from you. Apply now or send your CV to [email protected]
Referral reward: Rp5000000