Machine Learning Engineer

Capitec Bank LTD • Full-time • Western Cape, ZA • 7h ago

Introduction

Capitec Bank is a leading South African retail bank that focuses on essential banking services and provides innovative transacting, savings, insurance and unsecured lending products to individuals. Capitec's mission is to make banking simple and transparent to help clients - regardless of their level of income or assets - improve their financial lives through a single solution, called Global One.

We are looking for talented Machine Learning Engineers at Level 1 - 3, to join our growing Data Science division. If you are passionate about building intelligent systems that create real-world impact at scale, we want to hear from you.

Duties & Responsibilities

MLE Level I

Build components of systems that integrate predictive models into Capitec's platforms
Implement existing ML design patterns within cloud architecture
Support Data Scientists on defined and straightforward model requirements
Build data pipelines for standard models using common Capitec data sources
Collaborate with peers and provide tactical advice to Data Scientists
Manage own work in line with Capitec's Way of Work

MLE Level II

Design, build and execute end-to-end systems that deploy predictive models into production
Evaluate and extend standard cloud architecture approaches for moderate complexity problems
Support the full model lifecycle on complex and often undefined requirements
Build and refine maintainable and efficient data pipelines
Set standards and direct the work of self and others
Drive consensus on design across teams and mentor less experienced team members

MLE Level III

Define architecture and build organisation-wide systems to integrate predictive models
Solve complex, undefined or unique problems using reusable cloud patterns
Guide and support teams across the full ML model lifecycle at scale
Build and optimise data pipelines and define data architecture
Provide senior-level technical guidance to stakeholders including Product Heads, Solutions Architects and Software Development Managers
Be a thought leader and technical expert for machine learning across the organisation
Mentor colleagues inside and outside your product line and seed innovation across teams

Desired Experience & Qualification

Minimum Requirements by Level

MLE Level I:

Honours Degree or equivalent in a quantitative/STEM field (Computer Science, Electrical Engineering, Mathematics, Statistics or Engineering with ML focus)
Plus more than 2 years' relevant experience

MLE Level II:

Master's Degree in a quantitative/STEM field + 3 years' relevant experience OR
Honours Degree + relevant technical qualifications + 5 years' relevant experience

MLE Level III:

Master's Degree in a quantitative/STEM field + 6 years' relevant experience OR
Honours Degree + relevant technical qualifications + 8 years' relevant experience

Ideal Qualifications