AI/ML
Machine Learning Engineer
Develop cutting-edge AI models for personalized STEM learning experiences and educational content generation.
Remote
Full-time
3+ years
Posted
Aug 10, 2026
50+ Applicants
About the Role
Develop cutting-edge AI models for personalized STEM learning experiences and educational content generation. As a key member of our AI/ML team, you'll work on cutting-edge technology that powers personalized STEM learning experiences for students worldwide.
🚀 Impact: Your work will directly impact millions of students across Africa and beyond, making quality STEM education accessible to everyone.
Key Responsibilities
- Research and implement cutting-edge ML algorithms for personalized learning
- Develop NLP models for educational content generation and analysis
- Build and deploy computer vision models for interactive learning experiences
- Create and maintain ML pipelines for model training and deployment
- Collaborate with data scientists to improve model accuracy and performance
- Implement MLOps practices for model versioning and monitoring
- Work with product teams to integrate ML features into the platform
- Stay current with latest AI/ML research and technologies
Qualifications & Requirements
- 3+ years of ML/AI engineering experience
- Expert-level Python programming skills
- Deep experience with TensorFlow, PyTorch, or similar frameworks
- Strong understanding of NLP techniques and transformer architectures
- Experience with computer vision and image processing
- Familiarity with cloud ML platforms (AWS SageMaker, GCP Vertex AI)
- Master's or PhD in ML, AI, or related field preferred
- Strong mathematical foundation (linear algebra, calculus, statistics)
Core Skills & Technologies
PythonTensorFlowPyTorchNLPComputer Vision
Apply Now
Ready to join our team? Submit your application below and we'll review it within 5-7 business days.
Benefits & Perks
- Competitive salary (KES 1.8M - 3.0M annual)
- Remote-first work culture with flexible hours
- Annual research budget for conferences and publications
- Health insurance coverage for you and dependents
- Access to latest GPUs and cloud compute resources
- Collaboration opportunities with leading researchers
- Performance bonuses and achievement rewards
📊 Job Level
3+ years