Job Description

You've built models that outsmart spreadsheets.
You've scaled systems that laugh in the face of latency.
Now it's time to engineer intelligence that moves the needle--globally.
Our client is engineering real-time, distributed platforms that process data at telecom-grade scale. This isn't your average analytics gig. It's where software engineering and data science collide to build AI features that actually do something--at speed, at scale, and in production.
If you've ever said, "I don't just train models--I deploy them," we're already interested.
What you'll 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 deployment--with 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
You'll thrive here if:
You've deployed models into production and debugged them under pressure
Think in algorithms but communicate like a product owner
You've mentored juniors and shaped technical direction
You've worked with NLP, audio processing, LLMs or RAG--and you know what works in the wild
You understand distributed systems and how to make them behave
Bonus points if you've touched:
Real-time event systems
Telecom, signal processing or IP networks
Scalable ML services that don't just run--they evolve
This is not a sandbox. It's a launchpad for engineers who want their code to matter
Contact Seth Hickley at or call 021 418 1750
Quote Ref: CTI006019.
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