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 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.
- Solid mentoring, prioritisation, and stakeholder-management capability.
- Accountability for production outcomes, not only model accuracy.

📌 Computer Vision Lead Engineer (Hyderabad)
🏢 Staffington Global
📍 Hyderabad