Infrastructure as a service for data-scientists
At Mystic we’ve built the API for serverless ML compute. We abstract the entire infrastructure required to efficiently train and deploy your models so that ML engineers can focus on ML, not servers. We’re building a strong engineering team and are at an important inflection point. Engineers are responsible for developing our application in accordance with our roadmap and customer needs, and for designing and implementing robust and scalable development practices. Engineers will set the direction of our product, culture and company.
You’ll be involved in all aspects of the development and performance of our API. From our python client, integrating into the wider MLOps landscape, building tools to optimise internal performance through to improving and maintaining the infrastructure that handles the API requests. You will guide the direction of Neuro's API to meet the MLOps community requirements.
We’re building a strong software engineering team and are at an important inflection point. As early members or our engineering team, you’ll be responsible for developing the early versions of our application, designing and implementing robust and scalable development practices and will help set the direction of our product, culture and company.