Description
The Machine Learning Engineer will build, fine-tune, and deploy production-grade AI systems, designing scalable training, inference, evaluation, and monitoring pipelines. The role involves optimizing latency, throughput, cost, and reliability; working with large-scale datasets and APIs; collaborating with research, product, and engineering teams; and implementing evaluation frameworks and feedback loops. Candidates need a bachelor’s or master’s degree in a relevant field, strong Python and modern machine learning framework skills, production ML experience, and familiarity with distributed systems, data pipelines, and cloud infrastructure.
