At Mystic we’ve built the API for serverless ML compute (deployed as Pipeline AI: https://www.pipeline.ai/) . We abstract the entire infrastructure required to efficiently deploy ML models so that data scientists can focus on adding value, 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 help guide the direction of the API to meet the MLOps community requirements.
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