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    • 3 to 5 years of professional experience designing, deploying, and optimizing production-grade computer vision and AI systems.
    • Paid Time Off for Holidays.
    • View all Thingtrax jobs - Lahore jobs - Computer Vision Engineer jobs in Lahore
    • Salary Search: Computer Vision & AI Engineer | Mid Level salaries in Lahore
    • See popular questions & answers about Thingtrax
    • AI Engineer — Generative AI, Computer Vision & Real-Time Video Processing.
    • Build and integrate Generative AI* models (diffusion models, GANs) for image/video…
    • Background in AR/VR or applied computer vision products.
    • Strong experience with computer vision and pose estimation (MediaPipe, OpenPose, or MoveNet) *at…
    • AI Engineer — Generative AI, Computer Vision & Real-Time Video Processing.
    • Build and integrate Generative AI* models (diffusion models, GANs) for image/video…
    • Background in AR/VR or applied computer vision products.
    • Strong experience with computer vision and pose estimation (MediaPipe, OpenPose, or MoveNet) *at…
    • Design, develop, and deploy custom computer vision models for real-world applications.
    • Collaborate with product, software, and business teams to deploy AI-…
    • Working Hours : Internship (Full-time).
    • You will work under the mentorship of senior engineers and data scientists, gaining exposure to data preprocessing,…
    • It is crucial for applicants to have a foundational grasp of object tracking, which plays a vital role in many applications in the field of computer vision.
    • We are looking for a proactive and execution-driven Project Manager to lead end-to-end delivery of AI and technology projects.
    • O APIs and system integrations.
    • Work on data preprocessing, feature engineering, and model evaluation for NLP, computer vision, or predictive tasks.
    • TensorFlow, or transformers-based models.
    • Knowledge of Natural Language Processing (NLP), computer vision, or predictive analytics.
    • The ideal candidate will be responsible for designing, developing,…
    • Background in AR/VR or applied computer vision products.
    • Strong experience with computer vision and pose estimation (MediaPipe, OpenPose, or MoveNet) *at…
    • Experience with multi-modal models, including vision-language models.
    • You will work with a wide variety of clients to deliver the latest data science and big…
    • Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements.
    • Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large,…

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Job Post Details

Computer Vision & AI Engineer | Mid Level - job post

Thingtrax
3.7 out of 5 stars
Lahore

Job details

Job type

  • Full-time

Location

Lahore

Full job description

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


Requirements

  • 3 to 5 years of professional experience designing, deploying, and optimizing production-grade computer vision and AI systems.
  • Bachelor’s degree in AI/CS/SE (mandatory).
  • Expert-level proficiency in Python, with strong system design and architecture skills.
  • Deep experience with advanced object detection, segmentation, multi-object tracking, and OCR frameworks such as YOLO, Detectron2, MMDetection, and custom pipelines.
  • Proven experience deploying real-time inference pipelines on edge devices and cloud platforms.
  • Strong understanding of model optimization techniques including TensorRT, ONNX, OpenVINO, and quantization.
  • Solid background in Linux, Docker, CI/CD, and cloud services (AWS, GCP, Azure).
  • Strong programming skills in C#, C, or C++ are a plus.
  • Experience leading or mentoring junior engineers.
  • Experience managing client interactions and troubleshooting on-site issues.
  • Familiarity with networking protocols and embedded systems security is advantageous.
  • Experience working in Agile environments, including Scrum methodology.

Benefits
  • Health Insurance (Coverage for Spouse and Children if Married; Coverage for both Parents if Single)
  • Company-Sponsored Trips
  • Quarterly Dinner Events
  • Paid Time Off for Holidays
  • Learning and Development Support - Course/exam fees covered after approval.
  • Gym Membership Allowance
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