Principal AI/ML Engineer - Vision & Counting (Remote)

NextgenI; Karachi Division; Hybrid; PKR 5,000,000 - 7,000,000; Full time

Benefits offered by this job

Health Insurance

Fuel benefits

Company-sponsored road trips

Umrah sponsorship

Educational loans & sponsorships

Remote/hybrid work environment

Annual leaves

Job summary

NextGENi is seeking a Principal AI/ML Engineer to lead real‑world computer vision work, focusing on pedestrian and vehicle detection, tracking, and counting using YOLO pipelines. You will partner with senior engineers to improve accuracy and reliability in dense scenes and large-scale video analytics deployments.

The role requires 8+ years in engineering with hands-on CV experience and strong Python/PyTorch/OpenCV skills, plus a track record of delivering production-grade AI systems.

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 Python and modern AI/ML framework experience, ideally including PyTorch and OpenCV.

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 identify false positives/negatives and counting discrepancies.
• Provide principal-level technical guidance and collaborate with an existing team of Senior AI Engineers.
• Ensure models are scalable, reliable and suitable for deployment across mission-critical environments.

Skills

CV engineering

Leadership

YOLO / object detection

Python / PyTorch / OpenCV

Production ML experience

Model evaluation metrics

Job description

NextGENi is seeking a Principal AI/ML Engineer to lead real‑world computer vision work, focusing on pedestrian and vehicle detection, tracking, and counting using YOLO pipelines. You will partner with senior engineers to improve accuracy and reliability in dense scenes and large-scale video analytics deployments.

The role requires 8+ years in engineering with hands-on CV experience and strong Python/PyTorch/OpenCV skills, plus a track record of delivering production-grade AI systems.