Join a green energy supplier as an Associate Data & ML Engineer in Cape Town. You'll work with machine learning and deep learning tools to support innovative projects in the energy sector.
As an Associate Data & ML Engineer at a green energy supplier, you'll be part of a team dedicated to leveraging data and machine learning to enhance energy solutions. Your role will involve working with machine learning models and MLOps practices to ensure that these models are effectively deployed and maintained in production environments.
In your day-to-day work, you will collaborate with data scientists and engineers to develop and implement machine learning algorithms. You will also be responsible for optimizing existing models and ensuring they meet performance standards. Familiarity with tools like TensorFlow and PyTorch will be essential as you contribute to various projects aimed at improving energy efficiency and sustainability.
This role is ideal for someone who is passionate about technology and its application in the green energy sector. You should have a solid understanding of machine learning concepts and be eager to learn and grow in a supportive environment. Key requirements include a strong foundation in machine learning, experience with MLOps, and proficiency in deep learning frameworks.
Overall, this position offers a great opportunity for entry-level professionals looking to make an impact in the renewable energy space while developing their skills in machine learning and data engineering.
You'll be taken to the original listing on CareerJet to apply.