Noora Health India Private Limited is a key partner in Noora Health’s mission is to improve outcomes and strengthen health systems by equipping family caregivers with the skills they need to care for their loved ones. They develop content, technology platforms, new products, and strengthen other operational functions that support the scale and impact of Noora Health’s programs.
Founded in 2014, Noora Health turns hospital hallways and waiting rooms into classrooms by tapping into the most compassionate resources available for the patient’s care: their own family.
With support from governments and partners in India, Bangladesh, Indonesia, and Nepal, Noora Health has trained more than 43 million caregivers and patients across 12,800+ facilities using their flagship caregiver education and training curriculum, the Care Companion Program (CCP).
In a cohort of patients, the CCP reduced post-surgical cardiac complications by 71%, maternal complications by 12%, newborn complications by 16%, and newborn mortality by 18%.
Noora Health is an Audacious Project Grantee and received the Skoll Foundation Award for Social Innovation. To learn more, watch our TED Talk, Skoll feature, or read about our partnership with the World Health Organization.
- Build AI systems end-to-end: curate data, preprocess, prototype, deploy, and monitor performance in production.
- Define success metrics for each model or pipeline and iterate to improve accuracy, relevance, and efficiency.
- Integrate AI features into existing product infrastructure with attention to performance and scalability.
- Provide guidance on best practices and encourage the adoption of cutting-edge AI/ML techniques.
- Document research findings and share knowledge across teams.
- Collaborate with engineers, product managers, designers, and clinical experts to identify where AI can improve user experience and care delivery.
- 4+ years of experience in AI/Machine Learning with Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field, or equivalent demonstrated experience through projects.
- Empirical approach to problem-solving: you analyze data, models, and errors methodically to drive measurable improvements.
- Proficient in Python and solid machine learning fundamentals.
- Built and shipped at least one deep learning project (computer vision, NLP, or RL) from dataset curation through model/pipeline building, evaluation, deployment and continuous improvements through iterations.
- Experience with cloud platforms (GCP, AWS, or Azure) and databases (SQL, NoSQL).
- Clear communicator who balances theoretical knowledge with practical constraints.
- You are a builder at heart, obsess about the user problem and solutions you work on, and are innately curious to learn more and get better at what you do.
We value diversity, equity, and inclusion, and we understand the value of developing a team with different perspectives, educational backgrounds, and life experiences. We prioritize diversity within our team, and we welcome candidates from all gender identities, castes, religious practices, sexual orientations, and abilities — among many others.
We encourage people from all backgrounds to apply.
Please submit your application using this link.