Join a leading renewable energy company as a Senior Data and ML Engineer, where you'll shape the future of data architecture. This role is perfect for someone with strong technical skills in machine learning and data engineering.
This role is with a South African company that operates utility-scale renewable energy power plants. As a Senior Data and ML Engineer, you will be responsible for setting the technical direction and owning the architecture of the company's enterprise data platform. Your expertise will help drive the company's data initiatives and support its mission in the renewable energy sector.
In your day-to-day work, you will architect MLOps frameworks and develop ML data pipelines. You will define standard patterns for algorithm development and library usage, ensuring that the data infrastructure is robust and scalable. Your technical mastery in advanced SQL and Python will be crucial, as will your hands-on experience with ETL/ELT processes and enterprise data modeling.
The ideal candidate for this role is someone with advanced capabilities in MLOps and production ML integration. You should be comfortable working in a fast-paced environment and be ready to tackle challenges related to AI readiness. This position is not entry-level, so a solid background in machine learning and data engineering is essential.
Key responsibilities include: • Architecting MLOps frameworks • Developing ML data pipelines • Defining standards for algorithm development • Ensuring scalable and efficient data processes
If you are passionate about renewable energy and have the technical skills to back it up, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.