Camera Vision Engineer

Overview We are looking for a skilled Camera Vision Engineer to develop real-time camera vision pipelines, sensor fusion systems, and video analytics applications for industrial and maritime domains. The ideal candidate will have strong hands-on experience in Deep Learning, video processing, and edge device deployment.

Key Responsibilities

• Develop and optimize real-time video analytics solutions using DeepStream, YOLO, PyTorch, and OpenCV.
• Build and deploy computer vision models for object detection, segmentation, tracking, OCR, and classification.
• Deploy scalable solutions on edge devices like the Jetson series using Docker, Linux, and GStreamer.
• Design sensor fusion pipelines and work with RTSP cameras, satellite imagery, and multi-camera setups.
• Build user-friendly dashboards using PyQt and handle architecture components like WebRTC, Kafka, Zookeeper, and PostgreSQL.
• Collaborate with cross-functional teams for requirement gathering, testing, and deployment.

Required Skills and Qualifications

• 2 to 4 years of experience in computer vision and video processing.
• Bachelor’s degree in Computer Science, Electronics, AI/ML, or a related field.
• Expertise in Deep Learning including CNNs, YOLO, DETR v2, SAM2, and OCR.
• Proficiency in Python, C++, Bash Scripting, PyTorch, TensorRT, and ONNX Runtime.
• Hands-on experience with OpenCV, DeepStream, GStreamer, and Edge Devices.
• Solid understanding of Docker, Linux, Git, Kafka, Zookeeper, and SQL databases.

Preferred Attributes

• Experience with ROS, PLC integration, and satellite image analysis.
• Familiarity with cloud platforms such as Azure or AWS EC2.
• Certifications like NVIDIA Jetson AI Specialist or Microsoft Azure.
• Published research or a strong hands-on project portfolio.