Lead - Computer Vision

4 days ago

Ahmedabad, Gujarat, India Mantra Softech Full time ₹ 12,00,000 - ₹ 30,00,000 per year

We are seeking a highly experienced Lead Computer Vision to spearhead the research, architecture, and productization of AI-based video analytics and biometric solutions.

This role demands deep expertise in Computer Vision, Deep Learning, Edge AI, Linux, and GStreamer frameworks for developing intelligent camera-based systems used in identity, security, and smart IoT applications.

The incumbent will lead the design and deployment of real-time vision algorithms on embedded platforms and mobile devices, transforming innovation into scalable commercial products.

Key Responsibilities

  • Lead end-to-end development of computer vision and deep learning solutions for edge devices such as smart cameras, biometric terminals, and IoT vision systems.
  • Architect and optimize real-time video pipelines using GStreamer on Linux-based embedded platforms.
  • Design and implement DL/CV models (object detection, segmentation, tracking, gesture recognition, facial analytics, etc.) using TensorFlow, PyTorch, OpenCV, DLIB, Mediapipe, and TFLite.
  • Drive AI model lifecycle management dataset curation, training, validation, quantization, and deployment on embedded/edge hardware.
  • Collaborate with cross-functional teams for hardware integration, firmware communication, and cloud/mobile interfacing.
  • Ensure robust video streaming, processing, and performance optimization for real-time applications using GStreamer and multimedia APIs.
  • Lead a team of engineers, promoting R&D excellence, mentoring talent, and generating IP/patents.
  • Collaborate with product and design teams to transform research ideas into production-grade solutions.
  • Stay ahead of emerging trends in Edge AI, CV frameworks, and embedded vision architectures.

Required Skills & Technical Expertise

Must Have:

  • Strong expertise in Linux-based development and GStreamer multimedia framework (pipeline design, custom plugin development, optimization for video capture and streaming).
  • Proficiency in C/C++ and Python programming for performance-critical applications.
  • Hands-on experience with Computer Vision and Deep Learning frameworks TensorFlow, PyTorch, OpenCV, DLIB, Mediapipe, and TFLite.
  • Experience in Edge AI inference optimization (quantization, pruning, and deployment on NPUs/DSPs/ARM platforms).
  • Solid understanding of image and video processing techniques, including object detection, recognition, tracking, segmentation, and gesture recognition.
  • Exposure to Android/iOS camera systems, embedded Linux, and real-time video analytics.
  • Experience in software architecture design for camera-based AI products (Edge + Cloud integration).
  • Excellent problem-solving, debugging, and system-level understanding of video processing pipelines.

Good to Have:

  • Exposure to biometric systems (face, iris, fingerprint).
  • Experience with multimedia middleware (V4L2, FFmpeg).
  • Familiarity with 3D vision, SLAM, or sensor fusion.
  • Understanding of IoT and secure data streaming architectures.

Qualification & Experience

  • B.Tech/M.Tech/Ph.D. in Computer Science, Electronics, or related field
  • Experience in Computer Vision, Deep Learning, Linux, and GStreamer-based systems
  • Proven track record of developing and deploying AI-driven camera products or embedded vision systems

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