AI/ML Lead – Facial Recognition & Video Intelligence

3 years

0 Lacs

Posted:3 weeks ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Company Description


Live Eye Surveillance is a U.S.-focused AI surveillance and remote monitoring company, headquartered in Seattle with technology operations in India. We specialize in real-time, proactive security solutions for retail, QSRs, warehouses, and commercial spaces. Our in-house AI-powered Video Management Software (VMS) integrates advanced IP camera systems, intelligent video analytics, live audio deterrence, and 24/7 human monitoring to deter crime before it happens.


With enterprise-grade infrastructure and a commitment to reducing shrinkage, liability, and manpower costs, Live Eye is redefining modern surveillance for multi-location businesses.



💼 Role: AI/ML Lead – Facial Recognition & Video Intelligence

Location: Karnal, Haryana

Employment Type: Full-Time

Experience: 3+ Years in AI/ML, Computer Vision, and Team Leadership



🧠 Role Description


We are looking for an AI/ML Lead to spearhead the development of cutting-edge Facial Recognition, Object Detection, and Video Intelligence features for our proprietary VMS platform. You will lead the research, development, and optimization of AI models deployed across real-time IP camera feeds.


You’ll also manage a small team of AI/ML engineers and work closely with our backend, frontend, and mobile teams to build scalable, production-ready AI modules that directly impact global security operations.



🧪 Responsibilities


• Build and deploy production-grade models for facial recognition, object/person detection, and activity recognition

• Optimize AI pipelines for real-time performance and edge device compatibility

• Lead, mentor, and manage a small AI/ML engineering team

• Collaborate with product managers, software engineers, and cloud architects to integrate AI modules into the VMS platform

• Stay on top of the latest developments in deep learning and computer vision research

• Ensure model accuracy, efficiency, and scalability across diverse real-world environments



🔧 Required Qualifications


• 3+ years of hands-on experience in Machine Learning and Deep Learning (preferably in Computer Vision)

• Proficiency in Python, TensorFlow/PyTorch, OpenCV, and relevant DL libraries

• Strong background in building models for facial recognition (FaceNet, ArcFace, etc.) and object detection (YOLO, SSD, Faster R-CNN)

• Experience with ONNX, TensorRT, or other optimization tools for edge inference

• Experience integrating AI models with IP camera feeds (RTSP/ONVIF protocols preferred)

• Solid understanding of data preprocessing, model evaluation, and tuning

• Strong communication, problem-solving, and team leadership skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field



🌐 Nice to Have


• Experience with Jetson Nano/Xavier, Edge TPUs, or other AI hardware

• Background in surveillance systems, security platforms, or VMS architecture

• Familiarity with cloud platforms like AWS, Azure, or GCP

• Experience with Docker, Git, and CI/CD for deploying ML models



🌟 What We Offer


• Leadership opportunity in a rapidly growing AI security tech company

• Hands-on role in building core IP for our next-gen surveillance platform

• Flexible hybrid work setup with direct impact on global deployments

• Competitive compensation and opportunity for fast growth



📩 To apply: Send your resume to careers@myliveeye.com

🌐 Visit: www.myliveeye.com

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Live Eye Surveillance

Security & Surveillance

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