Key Skills

Job Description

Who we are Cape AI was founded at the beginning of 2019 and is currently run by enthusiastic data-driven entrepreneur Pieter Boon and Artificial Intelligence expert Adit Mehta. At Cape AI we believe that skilled AI developers can contribute to a better planet. Together with our clients, we shape their future and help improve their triple-bottom-line: People, Planet, Profit. What sets us apart from other consulting firms is that all team members can spend 20% of their time on personal development and prototyping disruptive AI-based business models. What we’re looking for We are looking for a problem solver with strong soft skills and hands-on experience with building machine learning models and working with structured and unstructured data. Suitable candidates should be very proficient in at least one programming language (preferably Python) and have DevOps skills – familiarity with Git/virtual machines in the cloud etc. The following would be advantageous. The ability to work through complex business problems and effectively communicate data-driven insights and recommendations A solid understanding of, and ability to explain, the mathematics and statistics behind machine learning algorithms Applicant requirements Practical experience working in the machine learning field and preferably a background in computer science, engineering, mathematics, or other scientific field(s) Work visa for the location you are applying for (to become eligible for an inter-company transfer, you need to first work 6 months at your local office) Full-time availability and willingness to work remotely or travel to clients Compensation Depending on work experience: South Africa: R 20.000 / R 100.000 month The Netherlands: EUR 2.500 / EUR 8.000 month

Core Responsibilities

Build machine learning models and work with structured and unstructured data to solve client business problems. Communicate data-driven insights and recommendations, while contributing to personal development and prototyping disruptive AI-based business models.

Requirements

Candidates should have practical machine learning experience, strong proficiency in at least one programming language (preferably Python), and DevOps familiarity, including Git and cloud virtual machines. A scientific or technical educational background is preferred, along with strong communication skills and the ability to explain the mathematics and statistics behind machine learning.