Senior Lead, Machine Learning Engineer

WHO WE ARE

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. 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 24 million caregivers and patients across 12,100+ 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 readmissions by 56%.

Noora Health was honoured as a TED 2022 Audacious Project Grantee and recipient of the 2022 Skoll Foundation Award for Social Innovation. Featuring Edith Elliott and Shahed Alam, our Co-Founders and Co-CEOs, Noora Health’s mission took the spotlight at the main stage of TED 2022.

In 2024, Noora Health was honoured to be featured in an essay in The New York Times which vividly captured a universal story of love and compassion through our collaboration with Sri Jayadeva Institute of Cardiovascular Sciences and Research in Bangalore, India.

WHAT YOU WILL DO

We are seeking an experienced AI/ML Engineer to lead the development and deployment of AI-driven solutions across our suite of digital products. You will be responsible for integrating and optimizing AI capabilities across key use cases, including chat segmentation, response assistants, caregiver profiling, and personalized messaging campaigns. Collaborating with cross-functional teams, you will ensure AI models are scalable, efficient, and empathetic, driving innovation across our platform. Additionally, you will enable rapid A/B experimentation, continuously optimizing AI features through testing and iteration to improve product performance and user engagement.

Key responsibilities include:

• Lead the development of AI systems from concept to deployment, leveraging state-of-the-art models and techniques to extract meaning, sentiment, intent, and other linguistic features from conversational data.
• Work closely with product managers, designers, and clinical experts to identify opportunities for AI-driven innovation that align with product goals and enhance user experiences.
• Enable rapid A/B testing to continuously refine AI-driven features. Analyze and iterate on model performance to optimize user engagement, product outcomes, and overall system efficiency.
• Develop scalable pipelines and systems to deploy AI models across various environments, ensuring seamless integration with existing product infrastructure while focusing on performance, efficiency, and scalability.
• Establish frameworks to monitor and evaluate the performance of AI applications. Continuously improve accuracy, relevance, and efficiency by setting clear success metrics for each model.
• Build privacy-by-design AI systems with appropriate anonymization, encryption, and access control mechanisms.
• Hire, lead, and mentor a team of AI/ML engineers, promoting a collaborative and innovative environment. Provide guidance on best practices and encourage the adoption of cutting-edge AI/ML techniques.
• Document research findings, methodologies, and technical specifications to ensure effective knowledge sharing and cross-team collaboration.

WHO WE ARE LOOKING FOR 

• 8+ years of experience in software development with a strong focus on AI/ML technologies and operations. Proven experience implementing LLM-based operations like RAG (Retrieval Augmented Generation), fine-tuning existing models, and self-hosting open-weight models.
• Proficient in backend development with experience in programming languages like Javascript, Python, Java, or similar. Deep understanding of relational databases, data warehouses, and SQL for data exploration and analysis.
• Driven individual eager to contribute to Noora Health by building and meticulously fine-tuning bespoke machine learning models. Hands-on experience in model training and optimization is a major asset.
• Experience in deploying and managing applications on cloud platforms like Google Cloud (or similar). Expertise in Kubernetes, Docker, and CI/CD pipelines for efficient deployment, monitoring, and management of machine learning models.
• Familiarity with AI model monitoring and observability tools such as Langfuse, Langsmith, Lunary, or other relevant platforms to ensure model performance and reliability.
• Experience with automated testing tools like Jest, Mocha, or similar testing frameworks to ensure the robustness and quality of AI-driven solutions.
• An advanced degree in computer science, information science, data science, mathematics or equivalent hands-on experience in programming.
• Strong analytical, problem-solving, and communication skills, with a keen attention to detail, self-motivation, and the ability to work effectively both independently and collaboratively within a team environment.

WHAT WE VALUE

At Noora Health, 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 for positions at Noora Health.