Join a green energy supplier as a Data and ML Engineer in Cape Town. You'll work on data transformation initiatives and develop machine learning models to support analytics and reporting.
As a Data and ML Engineer at a green energy supplier, you will play a crucial role in transforming data into actionable insights. Your main responsibility will be to implement data transformation initiatives under the guidance of the Data Engineering Manager. This involves owning the entire lifecycle of data products, from ingestion and modeling to preparing datasets for machine learning applications.
In this role, you will design data models and feature pipelines that facilitate reporting, analytics, and machine learning. You will also develop and evaluate various machine learning models and algorithms, such as forecasting and anomaly detection, using established libraries. Managing overfitting and drift will be key to ensuring the accuracy and reliability of your models.
The ideal candidate for this position should have a solid understanding of data transformation processes and experience in building machine learning models. You should be comfortable designing data structures that support machine learning and integrating these models into existing data workflows. This role is best suited for someone with a few years of experience in data engineering and machine learning, who is eager to contribute to innovative projects in the green energy sector.
Key responsibilities include: • Designing coherent data models and feature pipelines • Developing machine learning algorithms • Evaluating model performance and managing overfitting • Integrating models into data workflows
If you are passionate about data and want to make a positive impact in the green energy space, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.