AI/ML Engineer

Job Title: AI/ML Engineer Intern

Location: Hybrid (Lagos/Abuja)

Stipend: NGN50,000 per month

Internship Duration: 3 months - to be converted to full-time role based on performance

Company Description

My Health Integral (MHI) is a groundbreaking digital health startup with a vision of creating a healthier and more connected Africa, starting with Nigeria. Our mission is to revolutionize healthcare delivery through a comprehensive and seamless experience for both patients and healthcare providers. MHI offers a holistic, affordable, and integrated digital health platform that targets emerging markets and prioritizes accessibility, efficiency, and high standards of care.

About the Role

As an AI Engineer Intern, you will help develop and deploy machine learning models that enhance the functionality of our platform. This will involve working with real-world healthcare data to train models, analyze results, and implement AI features that make healthcare smarter and more accessible.

The internship is a hands-on opportunity where you will work directly with the founders and have a chance to experiment with different AI models and techniques. You will also gain practical experience in deploying AI solutions in a startup environment, where innovation and problem-solving are key.

Key Responsibilities

• Design, build, and train machine learning models to support diagnostic and predictive healthcare features.
• Deploy and integrate models into production using tools like Flask, FastAPI, or equivalent frameworks.
• Preprocess and clean structured and unstructured healthcare data for training and inference.
• Work with backend engineers to expose ML functionality via APIs.
• Evaluate and optimize model performance for accuracy, speed, and reliability.
• Stay current with industry trends and bring forward AI innovations relevant to healthcare.
• Contribute to data governance and ethical AI use in medical contexts.

Requirements

• Experience building and training machine learning models using Python, TensorFlow, PyTorch, or similar frameworks.
• Ability to deploy models via REST APIs or microservices.
• Understanding of real-world AI/ML integration challenges (scaling, latency, data privacy).
• Experience working with healthcare-related or sensitive data.
• Familiarity with model evaluation techniques and performance metrics.
• Comfort working in a startup environment with evolving requirements.
• Strong communication and documentation skills.

Apply here: https://forms.gle/9zCY7fFpvW5fg7e78