Hybrid Principal AI/ML Engineer, Computer Vision Leader

NextGENi - A DotZero Company; Karachi Division; Hybrid; PKR 3,500,000 - 7,000,000; Full time

Benefits offered by this job

ITS exposure

Job summary

NextGENi is seeking a Principal AI/ML Engineer to join our senior AI team in Karachi on a hybrid basis. You will lead for pedestrian and vehicle detection, tracking and counting, and drive YOLO-based model improvements for high-traffic, real-world environments.

You will optimize end-to-end video analytics pipelines, work with large video datasets, and ensure scalable, reliable deployments in mission-critical contexts. Proven production experience in computer vision is highly valued.

Qualifications

• 8+ years of engineering experience with 4+ years of hands-on computer vision experience.
• Principal or Lead-level ability to independently diagnose and solve complex AI/model-performance problems.
• Deep practical experience with YOLO and modern object detection architectures.
• Strong experience with object detection, multi-object tracking, pedestrian/vehicle counting and video analytics.
• Proven experience improving the accuracy of computer vision models deployed in real-world production environments.

Responsibilities

• Lead the optimization of computer vision models for pedestrian and vehicle detection, tracking, classification and counting.
• Diagnose sources of model inaccuracy and implement improvements to achieve and maintain 90%+ accuracy.
• Develop, train, fine-tune, benchmark, and optimize YOLO-based object detection models and related computer vision architectures.
• Improve model performance under challenging real-world conditions, including extreme crowd density, occlusion, variable lighting, camera angles and high traffic volumes.
• Work with large volumes of video captured from deployed camera units and improve the end-to-end inference and counting pipeline.
• Evaluate model performance, establish appropriate accuracy metrics, and systematically identify false positives, false negatives, tracking errors and counting discrepancies.
• Provide principal-level technical guidance and collaborate closely with an existing team of Senior AI Engineers.
• Ensure models are scalable, reliable and suitable for deployment across mission-critical, large-scale environments.

Skills

Python

PyTorch

OpenCV

YOLO

Computer Vision

Object Detection

Multi-Object Tracking

Pedestrian Counting

Vehicle Counting

Video Analytics

Tools

YOLO-based Models

PyTorch

OpenCV

Job description

NextGENi is seeking a Principal AI/ML Engineer to join our senior AI team in Karachi on a hybrid basis. You will lead for pedestrian and vehicle detection, tracking and counting, and drive YOLO-based model improvements for high-traffic, real-world environments.

You will optimize end-to-end video analytics pipelines, work with large video datasets, and ensure scalable, reliable deployments in mission-critical contexts. Proven production experience in computer vision is highly valued.