Join a dynamic team focused on energy solutions across Africa. As a Data and ML Engineer, you'll play a key role in implementing advanced machine learning practices and managing data workflows.
This role is with a company dedicated to developing and operating large-scale power generation and energy storage plants throughout Africa. They are looking for a Data and ML Engineer to help implement their data initiatives under the guidance of the Data Engineering Manager. This position is crucial for ensuring that the company's machine learning processes are efficient and effective.
As a Data and ML Engineer, your day-to-day responsibilities will include managing MLOps processes such as data versioning, continuous integration and deployment (CI/CD), and monitoring for data drift. You'll also be responsible for building end-to-end data ingestion frameworks and feature pipelines, ensuring that the data is ready for machine learning applications. Your experience with deep learning libraries like TensorFlow and PyTorch will be essential for the advanced machine learning tasks you will undertake.
The ideal candidate for this role should have a solid background in data engineering and machine learning, with proven experience in MLOps. You should be comfortable working in a fast-paced environment and be able to manage multiple tasks effectively. This role suits someone who is passionate about using technology to drive innovation in the energy sector and is eager to contribute to sustainable solutions.
Key requirements include: • Strong understanding of MLOps frameworks • Experience with data modeling and feature engineering • Proficiency in using TensorFlow and PyTorch for machine learning tasks • Ability to implement automated retraining pipelines and monitor model performance
If you are looking to make an impact in the energy industry and have the skills to back it up, this could be the perfect opportunity for you.
You'll be taken to the original listing on PNet to apply.