[Urgent] Lead - Computer Vision

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 :

Good to Have :

Qualification & Experience