AI Engineer

HelpMum

Job Overview

Location

Remote

Employment Type

Full-time

Work Arrangement

Remote

Sector

Information Technology & Software

Experience Level

Mid-level (3-5 years)

Application Deadline

June 27, 2026

About the Company

HelpMum is a mission-driven organization dedicated to leveraging technology to improve maternal and child health across Africa. The company focuses on developing innovative AI-powered solutions to address critical healthcare challenges, such as predicting pregnancy risks, optimizing vaccination schedules, and providing essential medical guidance to mothers. HelpMum's flagship product, MamaBot-Llama, utilizes advanced AI, including fine-tuned open-source LLMs, to deliver localized and medically accurate health advice. They are committed to ensuring their tools are accessible and reliable, even in low-bandwidth environments, and work closely with field teams to manage and preprocess unique maternal health datasets.

Job Description

HelpMum is seeking a mission-driven AI Engineer to spearhead the development and deployment of life-saving AI models.

In this impactful role, you will design, train, and fine-tune machine learning models, with a strong emphasis on Natural Language Processing (NLP) for chatbots and predictive analytics for health risk stratification.

You will lead the further development of MamaBot-Llama, focusing on fine-tuning open-source LLMs, such as Llama 3, to deliver localized and medically accurate health advice.

Your responsibilities will also include architecting and maintaining scalable AI pipelines using cloud infrastructure (AWS/Azure/GCP) to ensure reliable performance in low-bandwidth environments. You will collaborate with field teams to clean and preprocess unique maternal health datasets, ensuring data integrity and quality.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

Machine LearningNatural Language Processing (NLP)Predictive AnalyticsLLM Fine-tuningLlama 3Cloud Infrastructure (AWS, Azure, GCP)AI Pipeline ArchitectureData PreprocessingData IntegrityMaternal Health Data

Key Responsibilities

Design, train, and fine-tune machine learning models with a focus on Natural Language Processing (NLP) for chatbots and Predictive Analytics for health risk stratification
Lead the further development of MamaBot-Llama, focusing on fine-tuning open-source LLMs (e.g. Llama 3) to provide localised and medically accurate health advice
Architect and maintain scalable AI pipelines using cloud infrastructure (AWS / Azure / GCP) to ensure tools work reliably in low-bandwidth environments
Work with field teams to clean and preprocess unique maternal health datasets, ensuring data integrity and quality

Qualifications

Bachelor's or Master's degree in Computer Science, AI, or a related field
Proven experience in developing and deploying AI models, particularly NLP and predictive analytics
Proficiency with open-source LLMs (e.g., Llama 3)
Experience with cloud platforms (AWS, Azure, GCP)
Experience with unique maternal health datasets is an advantage

How to Apply

To apply for this role, click the Apply button on this page and follow the instructions.

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The maternal health sector in Africa is undergoing a significant digital transformation, with AI playing a crucial role in improving outcomes. This AI Engineer position is central to developing and deploying life-saving AI models that predict pregnancy risks, optimize vaccination schedules, and provide vital medical guidance. Expertise in Natural Language Processing (NLP), predictive analytics, and LLM fine-tuning is essential. The role's impact is profound, directly influencing the health and well-being of thousands of mothers and contributing to scalable healthcare solutions in low-bandwidth environments.