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# Computer Vision Lead

- **Company:** ADB Airfield Solutions
- **Location:** Morrison, TN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Python (Programming Language), OpenCV, Tensorflow, Server Administration, Software Engineering, Management of Software Versions, Graphics Processing Unit (GPU), Pytorch, Deep Learning, Keras, Kubernetes, Information Technology, Low Latency, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, Drift Detection, Video Analysis, Data Pipelines, Docker
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/computer-vision-lead-morrison-tn--4310ce5c-6d46-4e10-856e-d343b271791e

## About the Role

Computer Vision, Computer Vision, Software Development, Software Administration, Operational Support, Mentoring, Technical Delivery, Electrical Engineering, Computer Science, Artificial Intelligence (AI), * Master's or PhD in Computer Science, AI, Electrical Engineering, or a related discipline.

 * 7+ years in computer vision or deep learning, including 2+ years in technical leadership.
 * Strong Python, TensorFlow, PyTorch, Keras, OpenCV, and ONNX experience.
 * Proven production experience with scalable, real-time video analytics.
 * Strong cloud, edge, GPU, Docker, Kubernetes, data-pipeline, and MLOps knowledge.
 * NVIDIA stack, multi-camera, aviation, industrial, or mission-critical experience is preferred.

Soft Skills

 * Hands-on technical leadership and sound architectural judgement.
 * Strong research-to-production mindset.
 * Honest communication of AI uncertainty, limitations, and operational risks.
 * Focus on operator trust and false-alarm management.
 * Strong mentoring, prioritisation, and stakeholder-management capability.
 * Accountability for production outcomes, not only model accuracy.

## Description

* Define the architecture and roadmap for real-time, multi-camera airport video analytics.
 * Lead detection, segmentation, tracking, OCR, action recognition, and operational-event solutions.
 * Scale inference across 100+ streams using NVIDIA, ONNX, DeepStream, Triton, and edge technologies.
 * Establish accuracy, latency, throughput, availability, false-alarm, and degraded-mode criteria.
 * Own model monitoring, drift detection, versioning, reproducibility, rollback, and production readiness.
 * Lead recruitment, mentoring, engineering standards, stakeholder alignment, and technical delivery.