Datatron speeds up the AI life cycle model-management in today’s machine-learning paradigm by orders of magnitude. We deploy ML model deployment, scoring, monitoring, and model governance to enterprise clients in the financial, healthcare, and telecommunication sectors.
The Datatron team has more than 20 years of experience successfully building very large data infrastructure systems at companies such as: Lyft, Snapchat, Twitter, Box, Microsoft , Amazon, Oracle and Zynga.
Our platform simplifies the machine learning lifecycle.
We have a deep technical stack across frontend to data scientist and big data.
We are looking to scale and hire the best of the best. Is that you?
Datatron is a vendor, language, and framework agnostic platform that standardizes the AI model production life-cycle management in today's AI infrastructure paradigm by orders of magnitude to provide a centralized, Enterprise-scale model monitoring and model governance platform.
We are entirely Vendor, Language, and Framework agnostic, including, SAS, H20, Python, R, Sckit Learn, Tensor Flow, and more via user-friendly UI.
Our offerings primarily include: Model Deployment, Model Monitoring, Model Governance, Model Catalog
Our engineering team follows the agile process with weekly sprints and daily standup meetings.
We need to build a scalable and reliable system and strive to synchronize the software engineer and data scientist.
Support cutting edge machine learning frameworks
Detect anomalies from large scale input streams
We successfully moved our whole frontend from Angular to React
We are looking for talented individuals who are eager to learn, want to interact with customers and want to have a chance to make a big impact.
Interested in this company?
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