AI Engineer at HelpMum

HelpMum is using the power of mobile technology and low cost innovation to tackle maternal and infant mortality in deep remote rural area, semi- rural and urban areas in Nigeria.

We are recruiting to fill the position below:

Job Title: AI Engineer

Location: Nigeria

About the Role

• We are looking for a mission-driven AI Engineer to lead the development and deployment of life-saving AI models.
• You won’t just be writing code; you will be building systems that predict pregnancy risks, optimize vaccination schedules, and provide medical guidance to thousands of mothers across the continent.

Key Responsibilities

• Model Development: Design, train, and fine-tune machine learning models, specifically focusing on Natural Language Processing (NLP) for our chatbots and predictive analytics for health risk stratification
• LLM Optimization: Lead the further development of MamaBot-Llama, focusing on fine-tuning open-source LLMs (like Llama 3) to provide localized and medically accurate health advice
• Deployment & Scaling: Architect and maintain scalable AI pipelines using cloud infrastructure (AWS/Azure/GCP) to ensure our tools work reliably in low-bandwidth environments
• Data Strategy: Work with our field teams to clean and preprocess unique maternal health datasets, ensuring data integrity and addressing algorithmic bias to protect marginalized populations
• Product Integration: Collaborate with software engineers to integrate AI models into our WhatsApp-based bots (VaxBot) and mobile applications through robust APIs
• Ethical AI: Ensure all AI solutions comply with healthcare data privacy standards (NDPR/GDPR) and prioritize "AI for Good" principles

Required Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related technical field
• Experience: 3+ years of experience in AI/Machine Learning engineering, preferably within health-tech or social impact sectors
• Tech Stack Proficiency:
• Languages: Expert-level Python (PyTorch, TensorFlow, Keras)
• NLP: Experience with Transformers, Hugging Face, and fine-tuning LLMs
• Data: Strong SQL and experience with data engineering tools
• Cloud & DevOps: Experience with Docker, Kubernetes, and deploying models to production (MLOps)

Preferred Attributes:

• Passion for Impact: A deep-seated desire to use technology to solve real-world problems in Africa
• Problem Solver: Ability to build high-performing models that function within the constraints of resource-limited settings
• Language Tech: Interest or experience in building translation models for local African languages

Application Closing Date
30th June, 2026. 

How to Apply
Interested and qualified candidates should:
Click here to apply online