Senior Machine Learning Engineer – Onsite (Cape Town)

About the role

This senior position joins a fast‑growing AI & Machine Learning team that builds production‑grade ML products used by millions of online gaming customers worldwide. The role is based on‑site in Cape Town (or Durban) and focuses on delivering scalable models that operate at global scale.

Key responsibilities

• Design, develop and deploy machine‑learning models on large‑scale production datasets, covering both classical algorithms and deep‑learning solutions.
• Own the full ML lifecycle—from data cleaning and feature engineering to model monitoring, optimisation and continuous improvement in a high‑volume environment.
• Collaborate with AI Engineers, Data Engineers and Software Engineers to integrate models into robust, production‑ready pipelines.
• Contribute to a diverse portfolio of ML initiatives across multiple business domains within the online gaming platform.

Required profile

• Bachelor’s degree in Computer Science, Data Science, Statistics, Applied Mathematics or a related quantitative field, or equivalent professional experience.
• 7+ years of commercial software engineering or ML engineering experience, with a strong software development background.
• Proven experience building, training and deploying production ML models at scale.

Required skills

• Python
• SQL
• PyTorch
• Scikit‑learn
• XGBoost
• Databricks
• Spark / PySpark
• Snowflake
• AWS