AI Engineer (Intern / Early Contributor)
Engineering
Remote / Accra, Ghana
Intern
Help us build intelligent systems that make payments safer, faster, and more accessible across Africa through machine learning and AI.
About the Role
You'll work on fraud detection models, risk assessment tools, and personalized user experiences that power our fintech platform.
What You'll Do
- Build and train ML models for fraud detection and risk scoring
- Work with transaction data to extract insights
- Deploy models to production environments
- Collaborate with the engineering team on AI integrations
- Research and apply new AI/ML techniques applicable to fintech
You'll Thrive Here If You
- Understanding of machine learning fundamentals
- Experience with Python and ML libraries (scikit-learn, PyTorch, TensorFlow)
- Ability to work with real-world, imbalanced datasets
- Basic knowledge of data engineering pipelines
Bonus Points
- Fintech or fraud detection experience
- Experience deploying ML models at scale
- Knowledge of MLOps tools
Apply Now
Send your application to info@cornerstonepay.online
We review applications on a rolling basis
What We Offer
- Real-world experience building systems that power digital payments
- Mentorship from experienced engineers and startup founders
- Opportunity to work on live projects that impact real users
- Flexible, collaborative, and supportive remote environment
- Chance to grow your technical and professional skills quickly
- Letter of recommendation upon successful completion
- Possibility of full-time role after internship based on performance
Our Hiring Process
- 1ApplySend us your resume
- 2ChatQuick conversation with our team
- 3Technical DiscussionTalk through your experience and problem-solving approach
- 4Team FitMeet a few teammates and learn about how we work
- 5OfferIf it's a great fit, we'll make it official!
Ready to Build Something Big?
Join our growing team and help shape the future of payments and financial access across Africa.
Apply NowWe review applications on a rolling basis — early applications are encouraged.