Capitec Bank is seeking Machine Learning Engineers to support their Data Science team. This role focuses on building and optimizing data pipelines and working with various data sources.
As a Machine Learning Engineer at Capitec Bank, you'll play a crucial role in supporting the Data Science division. Your primary responsibility will be to build and optimize data pipelines that are essential for the development of machine learning models. You'll work with various data sources to ensure that the data is efficiently processed and structured for analysis.
In your day-to-day work, you will collaborate closely with Data Scientists to understand their model requirements and provide the necessary data infrastructure. This includes refining existing data pipelines and ensuring they are maintainable and efficient. You will also have the opportunity to work with big data storage solutions and cloud environments, which are vital for handling large datasets.
This role is ideal for someone who is eager to learn and grow in the field of machine learning and data science. If you have a solid understanding of data structures and algorithms, and are passionate about building data solutions, you will thrive in this position. Key requirements include experience with data pipelines and a familiarity with big data processing frameworks.
Overall, this is a fantastic opportunity for entry-level candidates looking to kickstart their careers in machine learning within a supportive and innovative environment.
You'll be taken to the original listing on PNet to apply.