Senior Lead, Machine Learning Engineer

Location: Not specified
Experience: 8+ years
Salary: Not specified

Noora Health

Noora Health is on a mission to transform healthcare by empowering family caregivers with the knowledge and skills they need to care for their loved ones. Founded in 2014, Noora Health believes that hospital hallways and waiting rooms can become classrooms, and that families are the most compassionate resource in a patient’s recovery journey. By partnering with governments and health systems across India, Bangladesh, Indonesia, and Nepal, Noora Health has trained more than 30 million caregivers and patients in over 12,400 facilities through their flagship Care Companion Program (CCP).

The results are remarkable: the CCP has helped reduce post-surgical cardiac complications by 71%, maternal complications by 12%, newborn complications by 16%, and newborn readmissions by 56%. Noora Health’s innovative approach has earned recognition from TED’s Audacious Project and the Skoll Foundation, and their story has been featured on the TED stage and in The New York Times.

At Noora Health, diversity and inclusion are core values. The team is passionate about building a supportive, collaborative environment where everyone’s perspective is valued. If you want to be part of a mission-driven organization that’s making a real impact on health systems and families across Asia, Noora Health is a place where your work can truly change lives.

Role

As the Senior Lead, Machine Learning Engineer at Noora Health, you’ll drive the development and deployment of AI-powered solutions across our digital health products. You’ll lead a talented team to design, build, and optimize machine learning models that make our caregiver training smarter, more personalized, and more impactful. If you’re passionate about using AI for good, thrive in collaborative environments, and want your work to improve lives at scale, this role could be a great fit.

Responsibilities

• Lead the design, development, and deployment of AI/ML systems from concept to production
• Collaborate with product managers, designers, and clinical experts to identify opportunities for AI-driven innovation
• Integrate AI features such as chat segmentation, response assistants, caregiver profiling, and personalized messaging
• Enable rapid A/B testing and continuous optimization of AI-driven features
• Build and maintain scalable pipelines for deploying models across diverse environments
• Monitor and evaluate AI application performance, setting clear success metrics
• Ensure privacy-by-design with robust anonymization, encryption, and access controls
• Mentor and guide a team of AI/ML engineers, fostering a culture of innovation and best practices
• Document research, methodologies, and technical specifications for effective knowledge sharing

Requirements

• 8+ years of experience in software development, with a strong focus on AI/ML technologies
• Proven experience with LLM-based operations (e.g., RAG, fine-tuning, self-hosting open-weight models)
• Proficient in backend development (Python, JavaScript, Java, or similar) and relational databases/SQL
• Experience deploying applications on cloud platforms (Google Cloud or similar), with expertise in Kubernetes, Docker, and CI/CD pipelines
• Familiarity with AI model monitoring tools (Langfuse, Langsmith, Lunary, etc.)
• Experience with automated testing frameworks (Jest, Mocha, etc.)
• Advanced degree in computer science, data science, mathematics, or equivalent hands-on experience
• Strong analytical, problem-solving, and communication skills
• Self-motivated, detail-oriented, and able to work both independently and collaboratively

Benefits

• Work at the intersection of technology and social impact
• Lead a high-performing, mission-driven AI/ML team
• Help shape digital health solutions that reach millions of families
• Be part of an inclusive, diverse, and supportive workplace
• Opportunities for professional growth and innovation
• Contribute to a globally recognized, award-winning organization making a real difference

Apply