Computer Vision Lead

ADB Airfield Solutions

  • India, TN
  • 13 days ago

    Highlights

    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. ADB Safegate is the market leader in Airfield Solutions, with a presence in 2,700 airports and 40 offices worldwide.

    Numbers & Facts

    LocationIndia, TN

    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.

    Similar Jobs