[Role] MLOps Engineer
Commitment: 3-5 hrs/week for 6-8 weeks, excluding holidays and exams. Schedule negotiable.
Sharpen your skills in productionising Machine Learning (ML) models while creating a lasting social impact at a global nonprofit
[Project] Global DevOps Engineer
5-8 hrs/week (depending on tasks assigned and experience level). Suitable for people with some existing experience in DevOps.
Sharpen your DevOps and Cloud Engineering skills in the context of a codebase shared by our global developers while contributing to a good cause.
