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Thingtrax

SaaS platform for real-time manufacturing performance

Thingtrax Vision AI Launchpad

Computer VisionConfirmed live in the last 24 hours
Full-timeLahore, Punjab, PakistanPKR50k /moIn-person

About the Job

Requirements

  • Fresh graduates in Computer Science, Information Technology, Artificial Intelligence, or Data Science.
  • A solid foundation in Python programming is required.
  • A basic understanding of computer vision principles is required.
  • A foundational grasp of object tracking is required.
  • Familiarity with segmentation techniques is important.

Responsibilities

  • Engage in detection, tracking, and segmentation of objects or features within datasets, and analyze and interpret complex data structures.
  • Develop and evaluate artificial intelligence models in alignment with current industry standards and practices.
  • Support data preparation and annotation by organizing datasets and applying labeling techniques for model training and validation.

Desired Qualifications

  • Exposure to deep learning frameworks, particularly PyTorch.
  • Previous internship experience in Vision AI or computer vision.
  • A final-year project focused on computer vision, Vision AI, object detection, tracking, segmentation, or a closely related area.

About the Company

Thingtrax

SaaS platform for real-time manufacturing performance

Thingtrax provides a SaaS platform that connects IoT sensors, AI, computer vision, and cloud analytics to monitor manufacturing in real time. It works by deploying sensors on the shop floor, streaming data to the cloud, and using AI and Vision AI to analyze equipment health, throughput, and worker activity, with a real-time dashboard and a collaboration suite. The platform’s end-to-end scope across machines, processes, and people, plus fast deployment and strong partnerships (Microsoft preferred partner, Intel Edge AI partner), sets it apart from narrower solutions. Its goal is to help manufacturers boost efficiency, cut costs, reduce waste, and sustain continuous improvement across the enterprise.

Company size
51-200
Company stage
Seed
Total funding
$9.2M
Headquarters
London, United Kingdom
Founded
2015

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