Manager: Machine Learning Engineer at Capitec Bank

Purpose Statement

• To manage the machine learning function in Data Services to build, implement, improve and support the AI platform which supports 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.

Qualifications (Minimum)

• A relevant degree in Information Technology - Computer Science or Engineering - General

• A relevant post graduate degree in Data Science

Experience

• 5+ years experience (at least 2 years team leadership)

• 2+ years software development experience

• Expert in Python (or R) and SQL

• Modern software development best practices e.g. agile software development, code reviews, unit testing, version control - git, CI/CD

• Microservice architectures

• ML frameworks and tools e.g. pandas, numpy, scikit-learn, TensorFlow, Pytorch, Spark MLlib

• Modern ETL, compute and orchestration frameworks, e.g. Apache Spark, Apache Flink, Apache Kafka, etc.

• Windows and Linux

• Container technologies, e.g. Docker, Kubernetes

• Cloud-based infrastructure, e.g. Azure, AWS, GCP; ideally AWS (advantageous)

Knowledge

• People management principles

• Stakeholder management

• Business acumen

• Basic principles of budgeting

• Object oriented and functional programming in Python

• Modern software development practices

• SQL Database querying

• Data life cycle

• Machine learning concepts

• Machine learning model life cycle

• Microservice architectures

Competencies

• Deciding and Initiating Action

• Leading and Supervising

• Relating and Networking

• Persuading and Influencing

• Applying Expertise and Technology

• Learning and Researching

• Delivering Results and Meeting Customer Expectations

Additional Information

• Clear criminal and credit record

• A valid driver's license and own vehicle is required

• Willingness to work or be available overtime and / or weekends if required

• Ability and willingness to work in an open plan environment

• Contactable via own mobile phone