This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer – Computer Vision based in Brazil.
This role is focused on building advanced artificial intelligence solutions for real-time video and image processing applications.
You will join an experienced technical team and contribute to the design, development, and optimization of computer vision systems.
The position combines machine learning expertise, GPU optimization, and software engineering to deliver high-performance AI models.
You will work on challenging technical problems involving video streams, image analysis, and production-scale AI deployment.
This is an opportunity to collaborate with distributed teams and contribute to innovative solutions powered by cutting-edge technologies.
The ideal candidate is a hands-on engineer with strong computer vision expertise, technical autonomy, and a passion for solving complex problems.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer – Computer Vision based in Brazil.
This role is focused on building advanced artificial intelligence solutions for real-time video and image processing applications.
You will join an experienced technical team and contribute to the design, development, and optimization of computer vision systems.
The position combines machine learning expertise, GPU optimization, and software engineering to deliver high-performance AI models.
You will work on challenging technical problems involving video streams, image analysis, and production-scale AI deployment.
This is an opportunity to collaborate with distributed teams and contribute to innovative solutions powered by cutting-edge technologies.
The ideal candidate is a hands-on engineer with strong computer vision expertise, technical autonomy, and a passion for solving complex problems.
Accountabilities
- 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.
- 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.
- Fully remote position with flexibility to work from anywhere.
- Opportunity to join an established technical team working on advanced AI and computer vision projects.
- Exposure to real-world applications of machine learning, GPU computing, and real-time data processing.
- Collaborative environment with opportunities to solve complex engineering challenges.
- Possibility to contribute to innovative AI solutions with direct production impact.