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CMS Info Systems - AI / ML Engineer - Image Processing / Deep Learning

CMS Info Systems - AI / ML Engineer - Image Processing / Deep Learning

CMS info systemsNavi Mumbai
5 days ago
Job description

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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