Junior Machine Learning Engineer

Invisible Technologies is seeking a Junior Machine Learning Engineer for an AI training project. The role focuses on developing and validating machine-learning models, training pipelines, inference systems, and supporting infrastructure, with substantial Python-based coding and performance optimization. Responsibilities The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasksA representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirementsDevelop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructureImplement model components, data pipelines, evaluation systems, and numerical methodsBuild reproducible programmatic workflows using Python