Machine Learning Engineer III at Capitec Bank

Purpose Statement

• To enable Data Scientists and Decision Scientists to do work more efficiently; build, implement, improve and support platform improvements which will support delivery of the Capitec AI strategy.
• To collaborate in creating and delivering the AI strategy to ensure Capitec is able to compete in a fast-changing landscape. The effective use of AI technologies will be a key strategic differentiator in the future.

Experience

Minimum:

NB. Length of experience for Machine Learning Engineers is conditional on the qualifications obtained

• Machine learning and software engineering experience
• Providing technical subject matter expertise, leading on complex data science/machine learning initiatives or projects in multiple technical areas. 
• Providing Technical subject matter expertise oversight of data scientists / teams to support delivery of solutions to business.
• Guiding and leading technical teams to maintain ML standards and practices

Qualifications (Minimum)

• Masters Degree in Information Technology - Computer Science or Engineering - Other

Qualifications (Ideal or Preferred)

• n/a in Information Technology - Computer Science or Engineering - Other

Knowledge

• Expert theoretical knowledge of machine learning patterns and experience of implementation.
• Machine learning model life cycle • Understanding of distributed systems.
• Understand a broad range of data structures and algorithms, and which to use.
• Knowledge of engineering and operational excellence best practices.
• Ability to debug code through common troubleshooting techniques such as metrics, logs and traces.
• Predictive modelling techniques (statistical and machine learning) and deployment.

Skills

• Analytical Skills
• Decision making skills
• Planning, organising and coordination skills
• Problem solving skills
• Researching skills

Conditions of Employment

• Clear criminal and credit record