Machine Learning Engineer III
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We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:
1. To see what life at Capitec is all about and complete a short assessment, please click here!
2. Once you have completed the above finalize your application by clicking apply below.
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
Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.
We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:
1. To see what life at Capitec is all about and complete a short assessment, please click here!
2. Once you have completed the above finalize your application by clicking apply below.
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
Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.
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