Machine Learning Engineer

Location:
South Africa (Remote)

Company:
Dijkstrack (Partnered with a Global Multi‑National Group)

Are you ready to architect world‑class personalization? Dijkstrack is looking for a specialist Machine Learning Engineer to design and scale a high‑performance recommendation engine for a multi‑national, billion‑pound group. This role is focused on building sophisticated predictive models that drive discovery and user engagement at an enterprise scale.

You will lead the development of a production‑grade recommender system. Your work will involve building the data pipelines, training the ranking and retrieval models, and ensuring the system delivers real‑time, high‑accuracy suggestions to millions of users globally.

• Expert proficiency in Python and PyTorch.
• Experience using Kubeflow to manage the end‑to‑end lifecycle of ML models, from experimentation to production.
• Deep knowledge of collaborative filtering, content‑based filtering, two‑tower models, and deep learning for recommendation (e.g., DLRM).
• A university degree in Computer Science, Mathematics, Engineering, or a related quantitative field is required.

• You must be currently based in South Africa.
• Experience handling large‑scale datasets and optimizing models for latency and throughput within a massive corporate ecosystem.

• Work on the "brain" of a billion‑pound group's digital ecosystem.
• Solve complex data challenges that have a direct, measurable impact on business growth.
• Build enterprise‑grade systems using a modern, cloud‑native stack.