Join a dynamic team focused on innovative energy solutions across Africa. As a Machine Learning Engineer, you'll work on developing and optimizing data models and machine learning algorithms to enhance the company's operations.
The company is a leader in developing and operating large-scale power generation and energy storage facilities across Africa. They are looking for a Machine Learning Engineer to join their team and contribute to their data-driven initiatives. In this role, you will work closely with the Data Engineering Manager to implement technical solutions that enhance the company's analytics and machine learning capabilities.
Your day-to-day responsibilities will include designing data models and feature pipelines that support both analytics and machine learning. You will build, evaluate, and integrate various machine learning algorithms, such as forecasting and anomaly detection, into existing data workflows. Additionally, you will manage MLOps processes, ensuring effective data versioning, continuous integration and deployment, and monitoring for model drift.
This role is ideal for someone with a solid background in data engineering and machine learning, who is comfortable working with advanced SQL and Python. You should have experience in model development and lifecycle management, as well as a passion for optimizing data processes. Strong problem-solving skills and the ability to work in a fast-paced environment will be key to your success in this position.
If you are looking to make a significant impact in the energy sector through data and machine learning, this opportunity could be a great fit for you. The company values innovation and sustainability, making it an exciting place to grow your career.
You'll be taken to the original listing on PNet to apply.