Senior Computer Vision & Edge AI Support Engineer

Infosys; Hyderabad; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Infosys is seeking an experienced IT professional to provide production support for Computer Vision and Edge AI solutions in a data analytics context. The role emphasizes monitoring, troubleshooting, and incident management across image processing pipelines and edge devices.

You will work with Python, C++, and CV tools, collaborating with AI/ML engineers and platform teams to ensure reliable deployments and performance.

Qualifications

• 7-10 years of IT experience with AI/ML or CV background.
• Hands-on with Python and/or C++, and strong Linux skills.
• Experience deploying or supporting AI models on edge/embedded platforms.

Responsibilities

• Provide production and application support for Computer Vision and Edge AI solutions.
• Monitor AI applications, edge devices, logs, alerts, and performance metrics.
• Troubleshoot image-processing pipelines, video streams, AI models, cameras, and system integrations.
• Perform root-cause analysis and drive timely resolution of production incidents.
• Document incidents, resolutions, and troubleshooting guides.
• Participate in incident, problem, change, and release management activities.
• Identify opportunities to automate monitoring, deployment, and operations.

Skills

Python

C++

Linux

REST APIs

Education

Bachelor's degree

BTech

MCA

Tools

OpenCV

PyTorch

TensorFlow

ONNX

Job description

Educational Requirements

Bachelor of Engineering, BTech, BCA, BSc, ME, MTech, MCA, MSc, MBA

Service Line

Data Analytics Unit

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 and Professional 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