My client is looking for a Senior Software Engineer with deep data science expertise to design and deploy machine learning and AI features for high-volume, real-time distributed systems. Youll own projects end-to-endfrom concept to productionwhile collaborating with a team of skilled professionals in a flexible hybrid environment. This is your chance to work on solutions that matter, using cutting-edge tech, and grow your career in a role that offers autonomy and impact. 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: Bachelors in Data Science, Computer Science, Engineering, or Applied Mathematics Masters degree preferred Background in telecommunications or signal processing is a plus Contact LIZAAN BUNNING on

Youll 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, youll 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: Bachelors in Data Science, Computer Science, Engineering, or Applied Mathematics Masters degree preferred Background in telecommunications or signal processing is a plus Contact LIZAAN BUNNING on