Machine Learning Engineer 10027 at Capitec Bank

About the role:

• As a Machine Learning Engineer at Capitec is pivotal in shaping and executing the bank’s AI strategy. By collaborating with Data Scientists and Decision Scientists, you’ll enhance their efficiency through the development, implementation, and support of platform improvements. Your contributions will be crucial in positioning Capitec to remain competitive in a rapidly evolving landscape where AI technologies are key strategic differentiators.
• This role leverages your deep understanding of machine learning models, from concept to deployment, and expertise in modern software development best practices, big data processing frameworks, and cloud environments whilst sitting in the risk division of the business. You’ll also be working extensively with Python, SQL, and advanced debugging techniques to ensure the delivery of scalable, robust, and production-ready predictive models

Our ideal candidate has:

• 4+ years of experience in any engineering role
• Honors degree or higher in any field
• Python and SQL experience
• TensorFlow, PyTorch, Scikit-learn, XGBoost, Hugging Face, LangChain, LangGraph, MLflow, RAG, and Transformers
• Big data frameworks – Hadoop/Kafka (PySpark)
• Github experience or Git
• AWS experience: S3, Redshift, SageMaker, Bedrock, Lambda

Competencies:

• Simplify and make it easy
• Earn and extend trust
• Plan, deliver and raise the bar
• Curious and continuously learns
• Act, learn and adapt
• Inspire optimism and persistence
• Have courage, disagree and commit

Education:

• Completed an Honors Degree or higher