Headquarters: Islamabad, Federal, Pakistan

Job Title: Full Stack Developer (Backend / Python / Pose Models)

Company: 31 Green Ltd

Job Type: Full Time – Remote / Hybrid

Experience: 5+ years

About Us

31 Green is a fast-growing and innovative organization building the digital infrastructure that powers next-generation HealthTech solutions. We are committed to transforming health outcomes by combining advanced AI, deep learning, and real-time movement analysis. We are looking for a highly skilled Full Stack Developer with deep expertise in Python and Pose Estimation technologies to join our team.

Role Overview

The Full Stack Developer will play a key role in developing and scaling the backend architecture of a cutting-edge health application. This role requires strong proficiency in Python, deep learning frameworks, and backend deployment. You will work on real-time human movement analysis through AI Pose Estimation Models, contributing directly to patient care optimization.

Key Responsibilities

Develop and maintain backend systems using Python with Django/Flask/FastAPI.
Implement Deep Learning and Computer Vision pipelines with TensorFlow/PyTorch.
Integrate Pose Estimation models into production-grade environments.
Manage and optimize databases including PostgreSQL, MongoDB, and Redis.
Build and deploy applications using Docker and cloud platforms (AWS/GCP/Azure).
Ensure full compliance with HIPAA/GDPR and secure handling of medical data.
Collaborate with technical teams to optimize backend scalability and performance.
Troubleshoot system issues and enhance system resiliency and automation.
Prepare documentation and support best practices across development processes.

Skills & Qualifications

Absolute mastery of Python with hands‑on experience using Django/Flask/FastAPI.
Proven experience with Deep Learning frameworks (TensorFlow/PyTorch).
Strong understanding of Computer Vision and Pose Estimation Models.
Proficiency with relational and non‑relational databases (PostgreSQL, MongoDB, Redis).
Skilled in Docker and deployment across AWS, GCP, or Azure.
Knowledge of HIPAA/GDPR and security protocols for health data.
Strong analytical, problem‑solving, and debugging skills.
Excellent communication and time management abilities.

Preferred Experience

Previous experience working on HealthTech or MedTech platforms.
Successful deployment of AI/ML models into production environments.
Experience integrating medical movement datasets or biomechanical data.
Familiarity with CI/CD tools, microservices, and distributed architecture.

How to Apply

If you are passionate about health technology, AI innovation, and building solutions that directly improve patient outcomes — we would love to hear from you!

Please send your CV, along with a Cover Letter to:

#J-18808-Ljbffr