Principal AI/ML Engineer

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

About NextGENi:
NextGENi (Next Generation Innovations) is transforming how regional startups build their technology teams. We help ambitious founders build and manage their offshore technology teams at twice the speed and fraction of the cost. We have built tech teams for some of the leading startups in the region including Careem, Dubizzle, and Kavak. Our mission is to create exceptional tech teams while maintaining an unparalleled culture and the highest regard for professional principles.

About the Role:
We are seeking an experienced Principal AI/ML Engineer to join an existing senior AI team working on complex, large-scale computer vision systems. In this role, you will provide deep technical expertise in pedestrian and vehicle detection, tracking, and counting, with a strong focus on improving model accuracy and reliability in dense, real-world environments. Working alongside a team of Senior AI Engineers, you will optimize and fine-tune YOLO-based models and end-to-end video analytics pipelines to achieve 90%+ counting accuracy. This is a highly practical, hands‑on role where proven experience solving complex computer vision challenges in production is valued significantly more than certifications or formal credentials.

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.

Key Requirements :

• 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.
• Experience handling challenges such as dense crowds, overlapping objects/occlusion, object re‑identification, camera perspective and variable environmental conditions.
• Strong Python and modern AI/ML framework experience, ideally including PyTorch and OpenCV.
• Experience evaluating models using appropriate detection/tracking metrics and translating model improvements into measurable production accuracy.
• Ability to work effectively within an existing senior engineering team while providing principal‑level technical leadership.
• Production experience and demonstrated technical capability are prioritized over certifications.

Nice To Have:

• Previous experience with intelligent transportation systems (ITS), traffic analytics, smart cities, crowd analytics, surveillance/video analytics or similarly large‑scale computer vision deployments.

Disclaimer
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If you give your employees the best, they will give you their best!
We offer the best compensation package to our employees in the industry within Pakistan, second only to none. Take a look at our comprehensive list of benefits that comes with working for us, regardless of your title and position.

Health & Well Being

Health Insurance: A comprehensive health package with Self, Spouse, Children, and Parents, with full coverage of pre-existing conditions for everyone, though a top 3 insurance provider.

Takaful Life: Compensation worth 60x salary, in the unfortunate case of loss of life or limb, for the next 5 years

Competitive Salaries & Fuel Benefits

We provide market competitive salaries and offer fuel benefits of 20, 30, 50, and 100 Liters to all team members.

We have about 4-6 Company-sponsored Road Trips annually, plus an LFA that covers 100% of the cost of trips to Northern Areas. We also send employees for a 10-day, fully-paid Umrah through a quarterly ballot.

Educational Loans

MS Sponsorship of up to 50% of tuition fee for all employees, along with Training & Certification Reimbursement. Employees can also acquire loans easily for small and big life expenses.

A remote/hybrid work environment is provided, depending on job roles and functions, with no probationary period. 20 annual paid unspecified leaves, with no sandwich policy, are given to everybody

Employee Engagement Activities

We organize several internal events to promote a vibrant culture such as Mango Day, Mothers Day, Fathers Day, Mentors Day, All-Hands, Mentor-Mentee Lunches, Birthdays, Diwali, Holi etc.

Sports Events

We host a variety of sports events to foster healthy competition such as Chess Tournaments, Monthly Futsal, Cricket Matches, etc.

Maternity & Paternity Leaves

We offer over 3 months of paid maternity leaves, and up to 1 week of paid paternity leaves