About this role
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.