Engineering Lead

Type:

About the Role

We are looking for an Engineering Lead to spearhead the development and deployment of Aarogya Aarohan. This mobile application, designed for use by ASHA workers on low-cost smartphones, aims to revolutionize frontline cancer screening in resource-constrained settings. This project has been prioritised for support by the Centre of Excellence in AI, by the Ministry of Education. The ideal candidate will be a hands-on technical leader with a passion for building impactful technology that makes a real difference.

Key Responsibilities

1. Technical Leadership: Lead the end-to-end development life cycle, from architectural design to deployment and maintenance. You will be responsible for the technical direction of the project, making key decisions on technology stack and system architecture.

2. Full Stack Development: Drive the development of both the front-end mobile application and the back-end services. This includes building the user interface for ASHA workers and the supporting APIs, databases, and a scalable cloud infrastructure.

3. ML Ops & AI Integration: Oversee the integration of AI models into the application. This involves setting up robust ML Ops pipelines for model serving, monitoring, and continuous improvement.

4. App Development: Lead the development of a user-friendly and highly efficient mobile application optimized for low-cost Android smartphones. The app must be able to handle image capture, local processing, and seamless data synchronization.

5. Infrastructure & Deployment: Manage the deployment and ongoing operations of the entire system. This includes setting up cloud infrastructure to support the application and its data storage requirements.

6. Team Collaboration: Work effectively within a small, agile team, collaborating closely with product managers, AI researchers, and clinical experts to translate project goals into technical solutions.

7. Operational Excellence: Focus on the entire end-to-end operations of the application, ensuring reliability, security, and scalability from the users hands all the way to our data servers.

8. Digital Public Good: The platform must be developed in a manner that it can be repurposed and used by groups independently for a similar purpose with limited handholding.

1. Experience: 5-8 years of professional experience in software engineering, with a strong background in developing and deploying scalable applications.

2. Technical Skills:

   ML Ops: Proven experience with ML Ops practices and tools.

   Full Stack: Extensive experience with full-stack development, including mobile app development and backend technologies.

   App Development: Hands-on experience building and launching mobile applications, preferably for Android.

   Cloud Infrastructure: Familiarity with cloud platforms and containerization technologies (Docker, Kubernetes).

3. Soft Skills:

   A proactive and independent problem-solver, comfortable working in a fast-paced environment.

   Excellent communication and leadership skills, with the ability to mentor junior engineers.

   A strong desire to use technology for social good.

1. Experience working in a startup or smaller team environment.

2. Experience in developing applications for low-resource environments.

3. Experience with data management in privacy and security-sensitive applications.

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