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Computer Vision Lead
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Overview
Job Description
Computer Vision Lead
Contract Type: Permanent
Job Location: Hyderabad - India
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.
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