31 Green Ltd: Full Stack Developer - Backend Focus

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Overview

31 Green Ltd is inviting skilled developers to apply for the Full Stack Developer position with a primary focus on backend technologies. The company is known for its dedication to creating advanced digital infrastructure for health technologies, fundamentally altering health outcomes through AI and deep learning applications. This full-time opportunity is remote, allowing applicants from anywhere around the globe to apply.

Company Information

Founded in Islamabad, Federal Pakistan, 31 Green Ltd stands at the forefront of the HealthTech industry. With a mission to combine innovative AI solutions and cutting-edge technology, the company aims to provide unparalleled improvements in patient care and health outcomes. They seek to innovate and build next-generation solutions that employ real-time movements analysis and deep learning techniques.

Job Title and Role

The job title is Full Stack Developer (Backend / Python / Pose Models). In this role, the selected candidate will significantly influence the development and scaling of backend architecture for advanced health applications. The position particularly emphasizes expertise in Python, deep learning frameworks, and backend deployment. The developer will directly be involved in optimizing patient care by leveraging AI technologies, particularly in the area of Pose Estimation models.

Key Responsibilities

• Develop and Maintain Backend Systems: You will be required to develop and maintain backend systems primarily using Python with frameworks like Django, Flask, or FastAPI.

• Implement Deep Learning: The responsibilities include implementing Deep Learning and Computer Vision pipelines using tools such as TensorFlow or PyTorch.

• Integrate Pose Estimation Technologies: Integrating Pose Estimation models into production-grade environments is a critical aspect of this role.

• Database Management: Managing and optimizing databases, including PostgreSQL, MongoDB, and Redis, is crucial for improving response times and user interactions.

• Application Deployment: The role will also involve building and deploying applications on cloud platforms like AWS, GCP, or Azure, using Docker for containerization.

• Compliance with Health Standards: Candidates must ensure the applications comply with HIPAA and GDPR, focusing on secure handling of sensitive health data.

• Collaborative Efforts: Working closely with technical teams to enhance scalability, performance, and implementing troubleshooting strategies to increase system resilience.

  

• Documentation: Preparing documentation and supporting best practices across development processes is also a key requirement.

Skills and Qualifications

Applicants must have:

• Proficiency in Python: Candidates should possess absolute mastery and hands-on experience with Python, especially within frameworks like Django, Flask, or FastAPI.

• Experience with Deep Learning Frameworks: Proven experience with frameworks like TensorFlow or PyTorch is essential.

• Understanding Computer Vision: A strong understanding of Computer Vision principles and Pose Estimation Models is necessary.

• Database Skills: Proficiency with both relational and non-relational database systems, including PostgreSQL, MongoDB, and Redis.

• Deployment Skills: Familiarity with Docker and deployment processes across cloud platforms such as AWS, GCP, or Azure is vital.

• Knowledge of Security Standards: Understanding of HIPAA/GDPR regulations regarding health data security is crucial to ensure patient confidentiality and data integrity.

• Analytical Skills: Strong analytical and problem-solving skills, alongside excellent communication and time management abilities, are essential for this role.

Preferred Experience

While not mandatory, a candidate with previous experience in HealthTech or MedTech platforms will be highly regarded. Successful deployment of AI/ML models into production environments and familiarity with CI/CD tools, microservices, and distributed architecture are considered an advantage.

Application Process

Interested candidates passionate about health technology and AI innovation are encouraged to apply. To do so, they need to send their CV and a cover letter to zainab.zahra@31g.co.uk. The company welcomes the talent eager to engage in solutions that significantly contribute to enhancing patient outcomes.

Conclusion

This is an excellent opportunity for seasoned developers to join an innovative company at the cutting edge of health technology. If you meet the requirements and have a passion for AI and deep learning, this role could be a perfect fit for you. With a strong emphasis on backend development and powerful health technology applications, this position not only provides a promising career path but also allows you to contribute positively to society through improved health solutions.

This job offer was originally published on weworkremotely.com