Computer Vision Lead
At a glance
Senior AI Research role at ADB SAFEGATE. India.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Set the design and development direction for real-time analytics across airport camera feeds
- Guide work on detecting, segmenting, tracking, reading text, recognizing actions, and identifying operational events
- Run inference across more than one hundred streams with the named NVIDIA, ONNX, DeepStream, Triton and edge technologies
- Set measures for model quality, speed, capacity, uptime, false alarms and degraded operation
- Oversee monitoring, drift checks, model versions, reproducibility, rollback and production readiness, while leading hiring and technical delivery
What you bring
- A master’s or doctoral degree in computer science, AI, electrical engineering or a related area
- At least seven years in computer vision or deep learning, including two years leading technical work
- Strong Python and experience with TensorFlow, PyTorch, Keras, OpenCV and ONNX
- A track record shipping scalable, real-time video analytics into production
Who this fits
This senior role suits a hands-on technical leader who can carry computer vision systems from research into production and guide engineering standards, mentoring and stakeholder alignment. You'll need to weigh model performance alongside operator trust, uncertainty and operational risk. The role is based in Hyderabad, India.
From the employer
Who Are We?
ADB Safegate is the market leader in Airfield Solutions, with a presence in 2,700 airports and 40 offices worldwide. We are building ADB Safegate Labs in Hyderabad, India – our latest software development hub. This is an opportunity to join a truly global company, working on innovative software solutions that support airport operations across Airfield, Apron, Terminal, Tower, and Weather solutions.
Responsibilities
- 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.
Requirements
- 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.