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.
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
Method of Application
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