Two abbreviations that every practitioner reads instantly. ML for machine learning, dev for development. Together they name the job title that a large share of the current software labour market is trying to fill.
ML development is distinct from both data science and conventional software engineering, and the tooling around it is a substantial market: experiment tracking, model registries, deployment, monitoring, and the whole MLOps stack.
The name fits a tooling product, a consultancy, a training provider, a job board, or a technical community. The community and education readings are strong, since the field moves fast enough that practitioners need continuous learning and there’s no settled curriculum.
Five characters covering two full concepts, .net, no hyphen. The .net is entirely native for developer infrastructure, and the brevity matters because a name like this ends up in package names, documentation, and command lines.
The name is listed. Enquiries welcome.