Lokalizacja
Lahore, Pakistan
Tryb pracy
Na miejscu
Forma zatrudnienia
Pełny etat
Język
English
Opublikowano
13 maja 2026
Ostatnio sprawdzono
27 maja 2026
Kontekst JobGrid
Podsumowanie roli od JobGrid
Computer Vision & AI Engineer | Mid Level at Thingtrax: Lahore, Pakistan; Na miejscu; Pełny etat. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Lahore, Pakistan, Na miejscu
- Role classification: Pełny etat
- Source freshness: checked by JobGrid on 2026-05-27.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Thingtrax is building an Agentic Manufacturing Operations platform to fundamentally change how factories run. By deploying AI-powered agents including computer vision systems directly on production lines, we enable manufacturing operations that can observe, reason, and act in real time. Partnering closely with manufacturers, especially in food and beverage, we’re helping teams reduce waste, improve quality, and move from manual intervention to autonomous, continuously optimised operations.
Key Responsibilities
- Design and implement end-to-end computer vision systems, including detection, segmentation, tracking, and OCR.
- Lead model selection, training, fine-tuning, and optimization initiatives.
- Architect and deploy real-time inference pipelines on edge devices.
- Optimize models using TensorRT, ONNX, OpenVINO, and quantization techniques.
- Design and maintain cloud-based inference services and monitoring pipelines.
- Integrate vision systems with IoT devices, PLCs, and enterprise platforms.
- Conduct applied research, prototype new approaches, and evaluate emerging models.
- Mentor junior engineers and perform technical reviews.
- Ensure scalability, reliability, and performance of production systems.
- Lead installation, configuration, and support of AI and IoT solutions for multiple clients.
- Oversee trials, site surveys, and collaborate with sales and product teams to align technical solutions with customer environments.
- Manage hardware and software deployment, validation, and postinstallation support.
- Lead troubleshooting efforts, including on-site client visits and coordination with R&D teams.
- Drive development, debugging, and optimization of AI models and embedded systems software.
- Participate actively in Agile teams following Scrum methodologies.
- Identify and prototype new AI technologies to enhance product offerings