Job Description

Role: AI / Computer Vision Engineer – Flight Turnaround Monitoring System

Key Responsibilities

• Model development: Design, train and optimise deep learning models for object detection, multi-object tracking, segmentation and video-based activity recognition on airport apron footage. • Activity-detection pipeline: Build the end-to-end pipeline that converts detections and tracks into turnaround events – combining detectors, trackers, stand-zone (ROI) geometry, temporal action models and a rule/state-machine layer with robust start/end timestamping.
• Accuracy ownership: Define the evaluation protocol with the product team, build and maintain a golden test set, and drive per-activity precision, recall and timestamp accuracy to the agreed targets.
• Dataset engineering: Own the data strategy – camera-view coverage, annotation guidelines and QA, active learning, hard-negative mining, class-imbalance handling and synthetic/augmented data for rare or safety-critical events.
• Robustness: Make models reliable across night, rain, fog, glare, shadows,



heavy occlusion by aircraft and vehicles, small/distant objects, differing camera angles and different airports or stands. • Error analysis: Run systematic failure analysis (by activity, camera, time of day and weather) and convert findings into data, model or logic improvements in quick iteration cycles.
• Production inference: Optimise multi-stream, low-latency inference with GPU acceleration (TensorRT / ONNX Runtime / DeepStream) on data-centre or edge hardware.
• MLOps: Set up experiment tracking, dataset and model versioning, automated evaluation, shadow-mode validation, drift monitoring and a retraining loop with human-in-the-loop correction.
• Integration: Work with backend, product and operations teams to publish activity events via Redis / RabbitMQ / SQL to dashboards, alerts and turnaround-time (TAT) analytics.
• Leadership: Mentor junior engineers, contribute to architecture decisions, technical re

📌 Senior CV Engineer (Hyderabad)
🏢 ZestIOT
📍 Hyderabad