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About the role
About Us We build enterprise-grade Paperless Management Systems for industrial and corporate clients, including Gatepass Management, Permit-to-Work, Safety, Audit, and Compliance platforms . Our solutions combine AI, computer vision, and mobile apps to digitize physical operations at factories, campuses, and large facilities. Role Overview We are looking for a hands-on Python Developer with strong experience in AI/ML and Computer Vision to help enhance our Gatepass and Paperless Management platforms . The role involves building intelligent features using YOLO, CompreFace , and deploying models into production-ready applications and APKs . Key Responsibilities Develop and integrate AI/ML modules into our Gatepass and Paperless Management Systems Implement computer vision use-cases using YOLO (object detection, PPE compliance, people/vehicle tracking, etc.) Work with CompreFace for face recognition and identity verification Build and optimize Python-based APIs and microservices (Flask/FastAPI) Support mobile app / APK integration for AI features (camera, geolocation, geotagging, real-time inference) Optimize ML models for performance, accuracy, and edge deployment Collaborate with PHP/CI backend and front-end teams for seamless integration Assist in deploying solutions on cloud, on-premise servers, and edge devices Must Have (Non-Negotiable) Proven experience deploying YOLO-based computer vision models in real-world, production environments (CCTV/RTSP or live camera feeds). End-to-end experience in building, deploying, and maintaining AI/ML pipelines — from model training and validation to production deployment and monitoring. Required Skills Strong proficiency in Python Hands-on experience with YOLO / Computer Vision / OpenCV Experience with Machine Learning / Deep Learning frameworks (PyTorch/TensorFlow) Experience integrating AI models into real-world applications Familiarity with REST APIs, Flask/FastAPI Understanding of Docker and model deployment pipelines Experience working with mobile apps (APK integration / camera feeds) Knowledge of Android app integration or hybrid apps Experience with industrial use-cases (security, access control, safety, logistics) Familiarity with edge AI deployments (Jetson, on-device inference, etc.) Strong problem-solving mindset and production-oriented development approach Why Join Us Non-toxic work environment No screaming bosses Stress free work environment. We don't work late at all Average working hours per week= 44 hours Respect-first culture with a clear code of ethics and conduct Structured work hours: 10:00 AM – 7:00 PM with a 1-hour lunch break Work on real-world AI deployments used by enterprise and industrial clients Build production-grade computer vision systems , not just PoCs Be part of a small, focused team with direct access to leadership Opportunity to grow in a stable, long-term product company Compensation 3.50 Lacs to 7.0 Lacs per annum How to Apply Send your updated CV to [HIDDEN TEXT] https://paperlessops.com https://paperless.net.in https://gatepassmanagement.com https://qhse-riskconsultants.com