Machine Learning Software Engineer – Remote

The role involves reviewing and assessing AI-produced machine learning code using frameworks like Python, TensorFlow, PyTorch, and scikit-learn to ensure correctness, efficiency, and scalability. The engineer will develop high-quality ML solutions for data processing, modelling, and deployment challenges across various complexities. They will craft clear explanations of model architecture and code logic, aiding transparency and understanding. The position requires identifying flaws and ambiguities in datasets, problem statements, or responses from AI systems to enhance their reliability. Candidates should be deeply familiar with machine learning pipelines, model development, and deployment, with experience in frameworks such as TensorFlow or PyTorch. The role demands strong communication skills to clarify complex concepts and a detail-oriented approach to ensure precision and quality.