Join a dynamic team focused on energy solutions across Africa as a Machine Learning Engineer. You'll work on data models and machine learning algorithms that drive the company's initiatives in power generation and storage.
As a Machine Learning Engineer at this company, you will play a crucial role in developing and optimizing data models and machine learning algorithms that support the company's energy initiatives across Africa. Your work will directly impact the efficiency and effectiveness of power generation and energy storage solutions. You will collaborate closely with the Data Engineering Manager to ensure that the technical implementation aligns with the company's goals.
In your day-to-day responsibilities, you will design data models and feature pipelines that facilitate analytics and machine learning processes. You will also be tasked with building, evaluating, and integrating various machine learning algorithms, such as forecasting and anomaly detection, into active data workflows. Your expertise in advanced SQL and Python will be essential for executing these tasks effectively.
Key responsibilities include: • Designing coherent data models and optimizing SQL performance • Developing and integrating machine learning algorithms into workflows • Managing MLOps processes, including versioning and automated retraining • Overseeing asset onboarding and ensuring proper interface maintenance
This role is ideal for someone with a solid background in machine learning and data engineering, who thrives in a fast-paced environment and is passionate about contributing to sustainable energy solutions. If you have at least three years of experience in a similar role and are eager to make a difference, this position could be a great fit for you.
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