Noora Health Hiring AI/ML Engineer to Scale Healthcare Training Platform Impacting Millions
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Noora Health Hiring AI/ML Engineer to Scale Healthcare Training Platform Impacting Millions

Startups Reporter
2 min read

YC-backed Noora Health seeks an AI/ML engineer to enhance its caregiver training platform that's reduced surgical complications by 71% and newborn mortality by 18% across 12,800+ facilities.

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Noora Health, a Y Combinator-backed health technology organization (W14 batch), is recruiting an AI/ML Engineer for its Bengaluru team to advance systems that empower family caregivers through medical education. The role focuses on developing scalable AI solutions within the company's Care Companion Program, which has trained over 43 million caregivers and patients across India, Bangladesh, Indonesia, and Nepal since 2014.

The Problem: Bridging Healthcare Gaps Through Education

Noora Health addresses critical gaps in post-treatment care by transforming hospital spaces into training grounds for patients' families. Their approach recognizes that relatives—often untapped resources in healthcare systems—can significantly improve outcomes when equipped with proper skills. Clinical results demonstrate this impact: a 71% reduction in cardiac surgery complications, 18% decrease in newborn mortality, and 56% fewer newborn readmissions among participating facilities. By scaling caregiver capabilities, Noora reduces strain on medical infrastructure while improving patient recovery.

Engineering Role: Building End-to-End AI Systems

The new AI/ML Engineer will develop production-grade systems supporting Noora's training platforms. Responsibilities span the full lifecycle: curating medical datasets, prototyping computer vision or NLP models, deploying on Google Cloud infrastructure, and monitoring real-world performance. Success requires balancing technical precision with healthcare realities—for example, ensuring models function reliably in low-bandwidth regions common across Noora's operating countries. The engineer will collaborate with clinicians to align AI features with care protocols and with product teams to integrate solutions into existing workflows.

Qualifications emphasize practical deployment experience: candidates need 4+ years in ML, proficiency in Python, and a history of shipping deep learning projects from conception to iteration. Cloud platform familiarity (GCP preferred) and strong communication skills are essential, given the role's cross-functional nature. Notably, Noora highlights empirical problem-solving over academic credentials, valuing candidates who "analyze errors methodically to drive measurable improvements."

Scaling Impact Through Technology

Noora's $2.5M-$3.5M INR compensation package reflects the role's strategic importance as the organization expands toward its 2028 goal of reaching 70 million caregivers. Backed by the Audacious Project and Skoll Foundation, the company integrates technology to amplify human-centric care—like using AI to personalize training content or analyze caregiver engagement patterns. This position offers engineers rare exposure to systems affecting tangible health outcomes; projects might involve optimizing multilingual content delivery or developing diagnostic aids for community health workers.

Noora emphasizes diversity in hiring, explicitly welcoming applicants across gender identities, castes, and abilities. Prospective candidates can apply via Noora Health's YC job listing. For context on their model, explore their official site or WHO partnership details.

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