AI Engineer – Computer Vision
New
BrazilFull-Time
Salary not disclosed
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Job Details
- Required Skills
- PythonMachine LearningOpenCVPyTorchTensorflowComputer Vision
Requirements
- Proven professional experience in Computer Vision, with hands-on experience developing solutions for image and video processing.
- Strong programming skills in Python and experience building production-ready AI applications.
- Solid experience with OpenCV and machine learning techniques applied to visual data.
- Experience with Nvidia CUDA, including GPU programming and performance optimization.
- Practical experience developing real-time video processing systems and working with video streams.
- Experience with VisionPro or similar computer vision platforms.
- Knowledge of deep learning frameworks such as PyTorch or TensorFlow is highly desirable.
- Experience optimizing models for real-time inference using techniques such as quantization or TensorRT is a plus.
- Background working with products involving cameras, streaming video, or embedded vision systems is advantageous.
- Strong problem-solving skills, autonomy, attention to detail, and the ability to communicate effectively within distributed technical teams.
Responsibilities
- Design, train, optimize, and deploy machine learning and computer vision models for real-time video processing applications.
- Develop efficient video processing pipelines focused on performance, scalability, and reliability.
- Implement and optimize AI solutions for GPU-based execution, including Nvidia CUDA programming and acceleration techniques.
- Work with computer vision libraries such as OpenCV to build solutions for image detection, tracking, and video analysis.
- Collaborate with engineering teams to integrate AI models into production systems and ensure operational performance.
- Document technical processes, architectural decisions, experiments, and model performance results.
- Contribute to continuous improvement of AI systems by researching optimization techniques and applying best practices in computer vision engineering.
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