Machine Learning Engineer

Capitec Client Care
Stellenbosch
ZAR 300 000 - 600 000
Job description

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Date: 21 Jan 2025

Location: Stellenbosch, Western Cape, ZA

Company: Capitec Bank Ltd

About The Role

As a Machine Learning Engineer at Capitec, you will be 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

  • 3+ years of experience in any engineering role
  • Honors degree or higher in any field
  • Python and SQL experience
  • PySpark
  • Big data frameworks – Hadoop/Kafka
  • Github experience or Git
Ideal

  • AWS experience
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
If you are interested in being part of this dynamic team, on a mission to build the best bank in the world through unlocking the potential of its people, please apply. We would love to hear from you!

Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.

Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.

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