AI Engineer

AI Engineer focuses on develop, and evaluate robust, scalable, and verifiable computer vision models and pipelines using modern deep learning frameworks.

What the role involves

• Develop, and evaluate robust, scalable, and verifiable computer vision models and pipelines using modern deep learning frameworks.
• Build and optimize end-to-end vision systems covering data preprocessing, model development, deployment, monitoring, and continuous improvement.
• Develop systems for object detection, segmentation, tracking, OCR, image classification, visual matching, product recognition, and video analytics as required.
• Develop automated testing, benchmarking, and evaluation workflows to ensure the performance, reliability, and safety of computer vision applications.
• Optimize models and inference pipelines for scalability, latency, and cost-efficiency across GPU and CPU environments.
• Contribute to dataset design, annotation processes, data quality validation, and tools that improve model performance and reliability.

Skills and requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Artificial Intelligence Engineering, or a related field.
• 3-6 years of experience in computer vision, deep learning, or a related AI field.
• Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or similar.
• Solid technical understanding of convolutional and transformer-based architectures, such as CNNs, ViT, YOLO, and Detectron2.

Candidate fit

• technical judgement, safe working habits, careful diagnostics, and practical problem-solving

Additional role context

• Develop, and productionize advanced perception systems for real-world construction industry use cases.
• We are seeking a talented Computer Vision Engineer to design.