ML Engineer
Lead advanced ML and AI projects using Java, transforming unstructured customer feedback into actionable insights for top South African enterprises. Drive end‑to‑end model development, deployment, and data labeling workflows to enhance customer experience and risk management.
ABOUT US
At DataEQ , we turn unstructured customer and public feedback into powerful, actionable insights! By combining cutting-edge AI with our unique human data labelling platform, we help some of South Africa’s top companies—like major banks, retailers, and insurers improve customer experiences, manage risk, and streamline digital services. Our innovative solutions make a real difference in industries that matter.
When you join DataEQ , you become part of a dynamic and diverse team of over 50 talented professionals, including data enthusiasts, analysts, and problem-solvers. We believe in fostering a collaborative and supportive environment where creativity and fresh ideas are encouraged. With our clients ranging from leading banks to major retail brands, your work here will directly impact businesses and customers alike.
If you’re passionate about data, excited by the prospect of solving complex challenges, and eager to grow in a fun, fast-paced environment, DataEQ is the perfect place for you. Join us in shaping the future of customer insights while building meaningful relationships with both clients and colleagues!
ABOUT THE JOB
We are looking for a senior machine learning and java engineer to join our development team. You'll work on building and improving our AI systems that process and analyse real-time data streams from various sources including social media, traditional media, and customer feedback channels.
The role involves developing and maintaining machine learning models that work alongside our crowdsourcing platform to provide intelligent data analysis and insights to our clients. You'll be working with real-time data processing, building scalable ML solutions, and implementing efficient data storage and retrieval systems. These are mostly simple classification tasks.
Our tech stack includes:
WHAT WE’RE LOOKING FOR
We have a culture that encourages curiosity, innovation an
Posted June 21, 2026