About the Role

Invozone is looking for an experienced Computer Vision Engineer to develop, implement, and optimize AI-powered computer vision solutions. The ideal candidate should have strong expertise in image processing, video analytics, deep learning, and object detection, along with hands-on experience building and deploying production-ready computer vision models.

Key Responsibilities

  • Design, develop, train, and deploy computer vision and deep learning models.
  • Build solutions for object detection, object tracking, image classification, image segmentation, and video analytics.
  • Work with frameworks such as OpenCV, PyTorch, and TensorFlow.
  • Implement and fine-tune models such as YOLO, Faster R-CNN, and other relevant architectures.
  • Collect, clean, annotate, and preprocess image and video datasets.
  • Evaluate model performance using appropriate metrics, including precision, recall, F1-score, and mean Average Precision (mAP).
  • Optimize models for real-time inference, accuracy, and performance.
  • Deploy computer vision models through REST APIs and integrate them with existing applications.
  • Collaborate with AI/ML engineers, backend developers, and project managers.
  • Troubleshoot model performance issues and improve model accuracy and reliability.
  • Maintain technical documentation and follow software engineering best practices.

Required Skills and Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 3+ Years of professional experience with computer vision
  • Strong programming skills in Python.
  • Hands-on experience with OpenCV, NumPy, and image processing techniques.
  • Practical experience with PyTorch or TensorFlow.
  • Strong understanding of CNNs, deep learning, and computer vision fundamentals.
  • Experience with object detection, tracking, image classification, or segmentation.
  • Experience training, evaluating, and fine-tuning deep learning models.
  • Familiarity with data annotation, dataset preparation, and model evaluation.
  • Experience developing APIs using FastAPI or Flask.
  • Understanding of Git, Docker, and model deployment workflows.

Preferred Qualifications

  • Experience with real-time video processing and streaming.
  • Familiarity with NVIDIA GPUs, CUDA, and TensorRT.
  • Experience with ONNX and model optimization.
  • Knowledge of MLOps, model monitoring, and cloud deployment.
  • Experience with edge AI devices or embedded vision systems.
  • Experience integrating computer vision solutions into production applications.

Key Performance Indicators (KPIs)

  • Model accuracy and performance against project-defined targets.
  • Inference speed and processing efficiency.
  • Quality and reliability of deployed solutions.
  • Timely delivery of assigned tasks.
  • Code quality, test coverage, and documentation.
  • Successful integration of models into production systems.

Job Type: Full-time

Work Location: In person

Job Details

Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Gender:
No Preference
Age:
18 - 65 Years
Minimum Education:
Master
Career Level:
Mid-Level
Maximum Experience:
2 Years
Apply Before:
Oct 28, 2026
Posting Date:
Oct 22, 2026

InvoZone

· 11-50 employees - Lahore

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