Senior Computer Vision Engineer (Consultant)

Strategic Systems International; Lahore; On-site; PKR 1,500,000 - 2,500,000; Full time

Job summary

Strategic Systems International is seeking an experienced professional/consultant to lead computer vision initiatives, delivering advanced AI solutions. You will oversee projects from problem definition to deployment, optimizing video analytics algorithms for real-time applications.

The ideal candidate has over 5 years of experience in computer vision and deep learning, strong technical leadership skills, and excellent communication abilities. Join us in fostering a culture of diversity and inclusion where every voice matters.

Qualifications

• 5+ years of experience in computer vision, deep learning, or video analytics with proven production deployments.
• Strong expertise with modern vision architectures such as YOLO and R-CNN.
• Hands-on experience with real-time video pipelines and edge AI deployments.

Responsibilities

• Lead end-to-end computer vision initiatives and model development.
• Design, implement, and optimize algorithms for object detection and tracking.
• Collaborate with engineering teams for production integration.

Skills

Computer vision

Deep learning

Video analytics

TensorFlow

PyTorch

NVIDIA Jetson

Problem-solving

Communication skills

Leadership

Job description

PURPOSE

We are looking for an experienced professional/consultant to lead and execute end-to-end computer vision and video analytics initiatives, delivering production-grade AI solutions that drive actionable insights.

QUALIFICATIONS, SKILLS, AND EXPERIENCE

• 5+ years of experience in computer vision, deep learning, or video analytics with proven production deployments.
• Strong expertise with modern vision architectures (YOLO, Faster/Mask R-CNN, Vision Transformers).
• Proficient in deep learning frameworks such as TensorFlow and PyTorch.
• Hands‑on experience with real‑time video pipelines, streaming architectures, and edge AI deployments (e.g., NVIDIA Jetson).
• Practical experience in industrial vision systems (machine state detection, anomaly identification, production line monitoring, equipment performance analytics).
• Demonstrated ability to lead technical projects and mentor junior talent.
• Excellent communication and presentation skills for both technical and non‑technical audiences.
• Strong problem‑solving skills and ability to architect scalable end‑to‑end solutions.
• Experience working with distributed teams and offshore–onshore delivery models.
• Strong organizational and time management abilities to manage multiple projects concurrently.

KEY RESPONSIBILITIES

• Lead: Lead end-to-end computer vision initiatives, from defining problem statements and preparing datasets to developing, training, and deploying advanced vision models.
• Design & Optimize: Design, implement, and optimize algorithms for video-based object detection, tracking, action recognition, and real-time analytics across large-scale video streams.
• Develop Pipelines: Develop robust, high-performance image and video processing pipelines using deep learning frameworks and GPU-accelerated technologies.
• Collaborate: Collaborate with engineering teams to integrate computer vision models into production systems, ensuring scalability, reliability, and low-latency performance.
• Mentor: Guide and mentor junior engineers and researchers, providing technical leadership, code reviews, and support to strengthen overall team capability.
• Translate Requirements: Work closely with product, data, and solution teams to understand requirements, translate them into technical implementations, and deliver actionable vision-based insights.
• Implement Best Practices: Implement best practices in model evaluation, versioning, optimization, and monitoring to ensure consistent model performance post-deployment.
• Research: Stay current with emerging research in computer vision, video analytics, and deep learning, incorporating state-of-the-art techniques into ongoing projects.
• Communicate: Communicate complex technical concepts and analytical results clearly to both technical and non-technical stakeholders.

A Culture of Belonging: At our core, we value diversity and inclusion. As an equal opportunity employer, we are dedicated to creating a workplace where every voice is heard, every person is respected, and everyone has the opportunity to succeed.