ML Infrastructure Engineer

Experience and Skills Required:

• Experience developing collaboratively, including infrastructure as code, preferably in Python
• Systems engineering knowledge, including understanding of Linux, security, and networking
• Cloud templating tools such as Terraform
• Experience with ML solutions, and as a professional services engineer, implementing solutions for them in cloud environments such as AWS, GCP, and Kubernetes

Role Description:

This is a hands-on developer role, and candidates ideally have had experience deploying and supporting their own production-ready solutions.