CMS Info Systems

3 weeks ago

Navi Mumbai, India CMS info systems Full time

Job Summary : We are looking for a skilled AI Video Analytics Engineer with 34 years of hands-on experience in AI-based surveillance, object detection, tracking, and OCR. The ideal candidate will have a strong background in deep learning frameworks (TensorFlow, PyTorch), video processing (GStreamer, FFmpeg), and practical deployment of models using optimization tools like TensorRT. Experience in working with real-time communication protocols and multimedia systems is essential.Key Responsibilities : - Design and implement AI solutions for real-time video analytics in surveillance environments.- Develop and deploy object detection, tracking, and OCR models using YOLO, MobileNetSSD, and other state-of-the-art architectures.- Optimize models for edge and server deployment using TensorRT and other acceleration frameworks.- Integrate AI pipelines into video streams using GStreamer and FFmpeg.- Handle real-time data exchange using protocols like HTTP, MQTT, and TCP/UDP.- Build and consume RESTful APIs for model inference, alerts, and data flow.- Collaborate with cross-functional teams to design scalable and efficient systems for POCs and production-grade solutions.- Work with CCTV/RTSP/ONVIF streams for real-time monitoring and analytics.- Ensure performance tuning and latency optimization for real-time use cases.Technical Skills : Must-Have : - Strong experience in Object Detection, Tracking, and OCR using deep learning.- Proficiency with TensorFlow, PyTorch, and TensorRT.- Hands-on experience with YOLO (v5/v8), MobileNet SSD, or similar architectures.- Solid knowledge of video streaming frameworks GStreamer, FFmpeg.- Experience with real-time communication protocols HTTP, MQTT, TCP/UDP.- Working knowledge of REST API development and consumption.- Exposure to OpenCV, NumPy, and other computer vision libraries.- Understanding of AI deployment pipelines for edge and cloud.Good to Have : - Experience with ONVIF, RTSP camera integrations.- Exposure to MLOps tools and practices.- Familiarity with containerization (Docker) and deployment pipelines (CI/CD).- Basic knowledge of cloud services (AWS, GCP, Azure).Soft Skills : - Strong analytical and problem-solving skills.- Ability to work independently and in a fast-paced team environment.- Excellent communication and documentation abilities.- Eagerness to learn and adapt to new tools and technologies.Educational Qualification : - Bachelor's or Masters degree in Computer Science, Electronics, AI/ML, or related field (ref:hirist.tech)

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