Capitec Bank is seeking Machine Learning Engineers to support their Data Science division. This role focuses on building and optimizing data pipelines to enhance model performance and efficiency.
As a Machine Learning Engineer at Capitec Bank, you'll be part of a dynamic Data Science division. Your main responsibility will be to support Data Scientists by building and refining data pipelines that are essential for model development. This is a great opportunity for those who enjoy working with data and want to contribute to innovative banking solutions.
In this role, you will work with various data sources to create maintainable and efficient data pipelines. You'll also have the chance to optimize these pipelines and define the overall data architecture. Your work will involve a range of data structures and algorithms, as well as big data storage and processing solutions, particularly in cloud environments.
This position is well-suited for individuals who are eager to learn and grow in the field of machine learning. If you have a solid understanding of data processing and enjoy collaborating with a team, you will thrive here. Key requirements include familiarity with data pipelines, cloud environments, and a good grasp of data structures and algorithms.
Overall, this role offers a supportive environment where you can enhance your skills while contributing to meaningful projects in the banking sector.
You'll be taken to the original listing on PNet to apply.