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 *****@*****.co.za or call (***)***-****
Quote Ref: CTI006019.

Connect with us at www.********.co.za
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A leading tech innovator is seeking a Senior Software Engineer with strong data science expertise to design and implement machine learning and AI features for high-volume, real-time distributed systems. You’ll work across the full product lifecycle—from concept to deployment—collaborating with skilled professionals in a dynamic, supportive environment. This is your chance to build solutions that matter, while growing your skills in a flexible hybrid setup.

Skills & Experience:
Minimum 4+ years in data science or data-focused software engineering
Python and/or Java proficiency
Experience deploying ML/AI models in production
SQL and large dataset handling
Unix-based environments, scripting, and networking
CI/CD pipelines, container tech, microservices
Feature engineering, model evaluation
Bonus: Kafka, NLP, LLM, RAG, audio processing, distributed systems

Qualification:
Bachelor’s in Data Science, Computer Science, Engineering, or Applied Mathematics
Master’s degree preferred
Background in telecommunications or signal processing is a plus
 
 
Contact LIZAAN BUNNING on *****@*****.co.za or 021 418 1750, quoting the Ref: CTI005934
 
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