Company:** OpenCode Solutions
Employment Type:** Full-Time
Level:** Mid-Level / Senior
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 Requirements
Computer 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.