Machine Learning Software Engineer – Remote

The role involves reviewing and assessing AI-generated machine learning code for accuracy, efficiency, and scalability using frameworks such as TensorFlow, PyTorch, or scikit-learn. Candidates will develop high-quality ML solutions addressing modelling, data processing, and deployment challenges, while providing clear explanations of model architecture and code logic. The position requires identifying weaknesses and ambiguities within datasets or problem statements and helping to set quality standards for AI-generated ML code. Deep expertise in model development, data pipelines, and deployment is essential, alongside strong communication skills. It offers flexible, asynchronous remote work, supporting independent and high-impact work in a cutting-edge AI environment.