We are seeking a highly skilled AI Engineer with hands-on experience in working with cameras, CCTV systems, drones, sensors, and advanced image/video processing techniques. The ideal candidate will design, develop, and deploy AI-driven computer vision solutions that enhance surveillance, automation, monitoring, and analytical capabilities.
Key Responsibilities
- Develop and optimize computer vision models for object detection, tracking, recognition, anomaly detection, and real-time analytics.
- Integrate AI models with camera systems, CCTV setups, drone footage, and sensor inputs.
- Work with live video streams, high-resolution images, thermal and depth sensors, and drone-based aerial data.
- Build and maintain pipelines for data acquisition, preprocessing, annotation, and model training.
- Design and implement edge AI solutions for on-device processing (CCTV cameras, drones, IoT devices).
- Collaborate with hardware, software, and networking teams for seamless system integration.
- Perform model evaluation, optimization, and benchmarking for latency, accuracy, and throughput.
- Troubleshoot and resolve issues related to image quality, sensor calibration, and video analytics.
- Stay up to date with emerging AI/ML, computer vision, and robotics technologies.
Required Skills
- Strong expertise in Python, OpenCV, TensorFlow/PyTorch, and image processing algorithms.
- Experience working with camera systems, CCTV setups, drone cameras, and sensor-based data.
- Knowledge of video analytics, computer vision pipelines, and real-time image processing.
- Hands-on experience with edge devices (Jetson Nano/Xavier, Raspberry Pi, AI-enabled CCTV cameras).
- Understanding of deep learning architectures (CNNs, YOLO, SSD, Faster R-CNN, Vision Transformers).
- Familiarity with sensor integration (thermal, lidar, radar, motion sensors, GPS).
- Strong understanding of networking concepts related to video streaming (RTSP, ONVIF, etc.).
- Ability to work with drone data and familiarity with flight/mission planning software is a plus.
Job Type: Full-time
Pay: ₹90,000.00 - ₹150,000.00 per month
Benefits:
Work Location: In person