Orchestra | Front-end &amp; Back-end engineers | London/Toronto | On-site | Full-time
Orchestra helps data scientists deploy machine learning models to production faster whether it's building a Docker image, serving as an API, creating batch processes or integrating directly to enterprise systems. Effectively, we are DevOps for ML and we automate deployment and release management of machine learning models.
We're still an early stage startup looking to close our seed round in the next few months. As an early member, you'll have the opportunity to define the space and set the standard for what it means to do DevOps properly within ML. The platform is currently developed using AngularJS, Python, Docker/Kubernetes.
Drop me a line at REDACTED_EMAIL if you love ML and want to help get machine learning models deployed faster, at scale and in a variety of shape and form.
Ask HN: Who is hiring? (June 2019)