What youll be building :
ML / AI features that run inside high-volume, real-time distributed systems
Microservices that scale dynamically and integrate seamlessly
Data pipelines that transform chaos into clarity
Solutions that go from whiteboard to client deploymentwith zero fluff
Your toolbox includes :
Python, Java, SQL
Unix-based environments, CI / CD pipelines
Kafka, containers, microservices
Feature engineering, model evaluation, version control
Production-grade ML workflows
Youll thrive here if :
Youve deployed models into production and debugged them under pressure
Think in algorithms but communicate like a product owner
Youve mentored juniors and shaped technical direction
Youve worked with NLP, audio processing, LLMs or RAGand you know what works in the wild
You understand distributed systems and how to make them behave
Bonus points if youve touched :
Real-time event systems
Telecom, signal processing or IP networks
Scalable ML services that dont just runthey evolve
This is not a sandbox. Its a launchpad for engineers who want their code to matter
Senior Data Engineer • Cape Town, South Africa