Job Summary
You'll design, build, and productionize machine learning and AI capabilities within high-throughput, real-time distributed systems. From that first spark of an idea to final deployment, you'll own the full lifecycle, bringing intelligence and innovation into scalable, real-world solutions.
Expect to collaborate with talented engineers, experiment with cutting-edge tech, and share in the excitement of pushing boundaries, all within a dynamic environment where your contributions truly matter.
Skills & Experience:
Minimum 4+ years' hands-on experience in data science or data-driven software engineering
Strong proficiency in Python and/or Java
Demonstrated experience deploying ML/AI models into production
Expertise in SQL and working with large-scale datasets
Comfortable in Unix/Linux environments, scripting, and networking fundamentals
Experience with CI/CD, Docker/Kubernetes, and microservices architecture
Skilled in feature engineering, model validation, and performance monitoring
Bonus festive sparkle: Kafka, NLP, LLMs, RAG, audio/signal processing, or 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 or 021 418 1750, quoting the Ref: CTI006069
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