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

Python Developer (AI/ML, Computer Vision & Mobile Apps)