Computer Vision & Linux Systems Engineer

Role Overview OpenCode Solutions is looking for a hands-on Computer Vision & Linux Systems Engineer who can develop AI/computer vision solutions and manage the Linux infrastructure required to deploy and operate them.

The engineer should be capable of taking a computer vision use case from initial feasibility assessment through POC development, model training, testing, optimization, and deployment.

Key RequirementsComputer Vision & AI

• Strong Python experience.
• Practical experience with PyTorch, YOLO, OpenCV, and FFmpeg.
• Experience with object detection, classification, tracking, segmentation, or pose estimation.
• Ability to build and test computer vision POCs using CCTV or recorded video.
• Experience preparing, cleaning, merging, and reviewing datasets.
• Familiarity with CVAT, FiftyOne, COCO, and YOLO annotation formats.
• Ability to train, evaluate, fine-tune, and troubleshoot custom computer vision models.
• Experience converting and optimizing models using ONNX, FP16, and INT8.
• Experience deploying AI models on GPUs, edge devices, or NPUs is highly preferred.

Web Scraping & Data Collection

• Experience building Python-based web scraping and data collection tools.
• Familiarity with tools such as BeautifulSoup, Selenium, Playwright, or Scrapy.
• Ability to collect and organize images, videos, metadata, and other public data for dataset development.
• Experience handling pagination, dynamic websites, APIs, file downloads, and automated data-processing pipelines.
• Ability to clean, deduplicate, and validate collected data.

Linux Administration Strong practical Linux administration experience, including:

• Linux installation, configuration, and troubleshooting.
• SSH and remote system management.
• Networking fundamentals including IP addressing, routing, DNS, ports, and connectivity troubleshooting.
• Storage, filesystems, permissions, users, and services.
• Package and dependency management.
• Docker and container management.
• GPU drivers, CUDA, and AI runtime troubleshooting.
• System performance and resource monitoring.
• Troubleshooting applications and services running on Linux servers or edge devices.

Deployment & Infrastructure

• Experience working with CCTV cameras, RTSP streams, NVRs, or similar video systems.
• Ability to deploy and troubleshoot AI applications on Linux edge devices.
• Experience with Git and version control.
• Basic understanding of APIs and application integration.
• Familiarity with Docker, Kubernetes, OpenShift, MinIO, ClearML, or similar platforms is advantageous.

Candidate Profile The ideal candidate should:

• Be highly hands-on and capable of working independently.
• Be comfortable troubleshooting across AI models, Python, Linux, networking, and hardware.
• Be able to turn loosely defined customer requirements into practical technical solutions.
• Be capable of independently sourcing and preparing data when an existing dataset is unavailable.
• Be comfortable researching and experimenting with unfamiliar technologies.
• Communicate technical limitations, requirements, and expected performance clearly.

Experience

• 2–5 years of relevant experience in Computer Vision, AI Engineering, Linux Systems Administration, or related technical roles.
• Bachelor's degree in Computer Science, Computer Engineering, AI, Software Engineering, or a related field is preferred.
• Strong practical experience and project portfolio may substitute for formal experience requirements.