At Mystic we enable companies to deploy ML models anywhere with just a few lines of code. We abstract the entire infrastructure required to efficiently deploy ML models so that data scientists can focus on their ML models, not servers.
We currently have 2 products. Pipeline Catalyst and Pipeline Core.
Pipeline Catalyst helps developers and startups get their models deployed quickly. They can upload it onto our platform and they get an endpoint that they can use to run inference in their products. Currently powering over 8,000 models for thousands of users.
Pipeline Core helps scale-ups and enterprises deploy their models in their infrastructure of choice. Our production-ready platform brings over 3 years of engineering experience, adds only 40ms of overhead to their ML inference and allows to manage thousands of models and environments at scale.
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 products. From Pipeline Catalyst to Pipeline Core, building new features, improving performance and maintaining the infrastructure that handles all the API requests. You will help guide the direction of all our products following our users' requirements.
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