Careers at the Forefront of African AI Innovation. Your next challenge awaits.
We're Hiring Exceptional AI Talent
Build production ML systems using TensorFlow/PyTorch. Experience with deep learning, model deployment, and Python required.
Analyze complex datasets, build predictive models, and deliver actionable insights. Strong statistical background essential.
Design and maintain ML infrastructure. Deploy models to production using Kubernetes, Docker, and cloud platforms.
Develop CV solutions for object detection, image segmentation, and facial recognition. OpenCV and CNN expertise required.
Perks, Mentorship, and High-Compute Resources
World-class salaries benchmarked against Silicon Valley standards, adjusted for Tanzania's economy. Plus equity options for senior roles.
Sponsored certifications (AWS, Azure, TensorFlow), conference attendance, and access to premium ML courses and research papers.
High-end workstations, cloud GPU access (A100s, V100s), and unlimited compute budget for training models.
Direct mentorship from PhDs and senior ML engineers. Regular code reviews, pair programming, and knowledge transfer sessions.
Flexible hours, remote work options, generous vacation policy, and health insurance for you and your family.
Work on real-world AI problems affecting millions. Own your projects end-to-end with minimal bureaucracy.
What We're Building
Fine-tuning large language models for Swahili and Tanzania-specific contexts. Building domain-specific GPT models for legal, medical, and financial sectors.
Developing CV systems for agricultural disease detection, quality control in manufacturing, and smart city surveillance with privacy-preserving techniques.
Time-series forecasting for retail demand, financial market prediction, and healthcare resource optimization using advanced ensemble methods.
Building automated ML pipelines with continuous training, A/B testing frameworks, and real-time model monitoring systems that scale to millions of requests.
Send us your CV and portfolio. We review all applications within 48 hours.