We are seeking a talented Computer Vision Engineer to design, develop, and productionize advanced perception systems that power our next-generation products. In this role, you will turn research-driven ideas into reliable, scalable, and high-impact applications.

The ideal candidate is analytical, innovative, team-oriented, and eager to learn and apply cutting-edge computer vision technologies.

Responsibilities

• Design, develop, and evaluate robust computer vision models and pipelines using modern deep learning frameworks.
• Build and optimize end-to-end vision systems, from data preprocessing and model development to deployment, monitoring, and continuous improvement.
• Implement and refine systems for object detection, segmentation, tracking, OCR, image classification, and video analytics as needed.
• Collaborate with cross-functional teams to understand product requirements and translate them into scalable technical solutions.
• Develop automated testing, benchmarking, and evaluation workflows to ensure performance, reliability, and safety of computer vision applications.
• Optimize models and inference pipelines for scalability, latency, and cost-effectiveness across GPU/CPU environments.
• Contribute to designing and improving datasets, annotation processes, and data quality validation tools.

Required Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, AI Engineering, or a related field.
• 2–5 years of experience in computer vision or deep learning mid-level
• Strong proficiency in Python and experience with frameworks such as PyTorch, TensorFlow, or similar.
• Hands-on experience with building and deploying computer vision models in production.
• Solid understanding of convolutional and transformer-based architectures e.g., CNNs, ViT, YOLO, Detectron2

Preferred Qualifications

• MS or PhD in a relevant field.
• Experience with implementing or fine-tuning vision-language models e.g., CLIP, BLIP, SAM
• Familiarity with edge deployment frameworks TensorRT, OpenVINO, ONNX Runtime
• Experience with 3D vision, point clouds or depth estimation.
• Contributions to open-source computer vision projects.
• Experience working with cloud platforms AWS, GCP, Azure