Capitec Bank is looking for Machine Learning Engineers to support their Data Science team. 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 play a crucial role in supporting the Data Science division. Your main responsibility will be to build and optimize data pipelines that are essential for the development of machine learning models. You'll work closely with Data Scientists to ensure that the data architecture is efficient and maintainable, allowing for seamless integration of various data sources.
In this role, you will engage with a broad range of data structures and algorithms, and you'll have the opportunity to work with big data storage and processing solutions. Familiarity with cloud environments and big data processing frameworks will be beneficial as you help refine and enhance the data pipelines.
This position is ideal for those who are eager to learn and grow in the field of machine learning. If you have a passion for data and enjoy collaborating with others, this could be the perfect fit for you. Key requirements include a solid understanding of data pipelines and architecture, as well as experience with big data processing.
Overall, Capitec Bank offers a collaborative and growth-oriented environment where you can develop your skills and contribute to meaningful projects in the financial sector.
You'll be taken to the original listing on PNet to apply.