Join a dynamic team focused on energy solutions across Africa as a Machine Learning Engineer. You'll work on innovative data models and machine learning algorithms to optimize power generation and storage. This role is perfect for someone with a solid background in data engineering and machine learning.
As a Machine Learning Engineer at this company, you'll play a crucial role in developing data models and machine learning algorithms that enhance the efficiency of utility-scale power generation and energy storage. Your work will directly impact how the company optimizes its operations across the African continent. You'll collaborate closely with the Data Engineering Manager and other team members to ensure that data workflows are robust and effective.
Your responsibilities will include designing data models and feature pipelines that support analytics and machine learning initiatives. You'll also be tasked with building, evaluating, and integrating various machine learning algorithms, such as forecasting and anomaly detection, into existing data workflows. A key part of your role will involve implementing MLOps practices, which includes managing data versioning, continuous integration and deployment, and monitoring for model drift.
To succeed in this role, you should have a strong background in Python and SQL, along with experience in machine learning and data modeling. Familiarity with MLOps practices will be essential, as you'll be responsible for lifecycle management of the models you develop. This position is ideal for someone with at least three years of experience in a similar role, looking to make a significant impact in the energy sector.
If you're passionate about using data to drive innovation in energy solutions and thrive in a fast-paced environment, this role could be a great fit for you. Join a team that values sustainability and is committed to making a difference in the industry.
You'll be taken to the original listing on PNet to apply.