Senior Computer Vision & Edge AI Support Engineer

Job Description:

• We are looking for a Senior Computer Vision and Edge AI Support Engineer to support production grade computer vision and Edge AI applications
• The role involves monitoring troubleshooting maintaining and optimizing Computer Vision image processing video analytics and Edge AI solutions deployed on edge devices or production platforms
• The ideal candidate should possess strong technical expertise across AI ML applications edge deployment Linux environments incident management and production support

Key Responsibilities:

• Provide production and application support for Computer Vision and Edge AI solutions
• Monitor AI applications inference services edge devices system health logs alerts and performance metrics
• Troubleshoot issues related to image processing pipelines video streams AI models cameras edge devices and system integrations
• Perform root cause analysis and drive timely resolution of production incidents
• Support deployment and maintenance of Computer Vision models on edge platforms
• Optimize AI inference for latency throughput memory utilization and resource constrained devices
• Diagnose model application hardware software integration network and environment related issues
• Work with Python C OpenCV PyTorch TensorFlow ONNX or comparable Computer Vision technologies
• Support object detection image classification segmentation anomaly detection and video analytics solutions
• Coordinate with AI ML engineers data scientists platform teams infrastructure teams and business stakeholders
• Document incidents resolutions known errors operating procedures and troubleshooting guides
• Participate in incident problem change release and service management activities
• Identify opportunities to automate monitoring support deployment and operational processes

Technical Requirements:

• 7 10 years of overall IT experience with significant experience in AI ML Computer Vision or application support
• Strong knowledge of Computer Vision Edge AI image processing and video analytics
• Hands on experience with Python and or C
• Experience with OpenCV and at least one ML framework such as PyTorch or TensorFlow
• Understanding of object detection classification segmentation and image processing pipelines
• Experience deploying or supporting AI models on edge or embedded platforms
• Strong Linux troubleshooting log analysis debugging and performance analysis skills
• Experience in production support incident management root cause analysis and problem management
• Understanding of REST APIs containerization networking and cloud or edge connectivity
• Strong communication analytical and stakeholder management skills

Preferred Skills:

Technology->AI-Data science->Computer Vision