• Application Deadline:
• Position: AI Engineer



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience



• Location Nigeria




• Job Field ICT / Computer 
  
  

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