Senior Computer Vision Engineer (Consultant)
At a glance
Senior Machine Learning Engineering role at Strategic Systems International. Lahore · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Take vision projects from problem definition and dataset preparation through model training and production rollout
- Build and tune video models for detection, tracking, action recognition and live analysis across large video streams
- Create fast image and video pipelines with deep learning frameworks and GPU acceleration
- Connect vision models to production systems, then track their performance through evaluation, versioning and monitoring
- Guide junior engineers through technical decisions and code reviews, while turning team needs into working solutions
What you bring
- At least five years in computer vision, deep learning or video analytics, including production deployments
- You can work with YOLO, R-CNN or Vision Transformers, and build with TensorFlow or PyTorch
- You have hands-on experience with live video systems and edge AI, such as NVIDIA Jetson
- You have applied vision systems to industrial monitoring, anomaly detection or equipment performance analysis
Who this fits
This senior consultant role suits someone who can lead technical delivery and mentor junior engineers while communicating with both technical and non-technical audiences. The work includes coordinating with distributed teams and managing multiple projects.
From the employer
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.