ML scientist/engineer open to a wide range of projects. Primary focus has recently been in computer vision, specifically in applied research and engineering real-time inference systems for on-prem deployments in the healthcare industry. Past projects include a diverse set of machine learning and statistical projects with a PhD in statistical inference applied to problems in astrophysics.
Location: NYC
Remote: yes
Willing to relocate: yes
Technologies: python ML stack (numpy, scipy, sklearn, etc.); deep learning frameworks (especially pytorch); and a host of tools for MLOps like docker, ansible, kubernetes, flask, kafka, rabbitmq; experience working with C and dabbling in lower level and numerical stuff, especially in julia
Résumé/CV: https://kilianbreathnach.github.io/resume/Walsh_Kilian.pdf
Email: kiliantics@gmail.com