Datatron Technologies

11 - 25 Employees
11 - 25 Engineers
$2M - $5M Funding
Pre-Series A

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.

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Active Roles
Why join us?
  • 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?


Engineering at Datatron Technologies
Engineering team and processes

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.

Technical Challenges

We need to build a scalable and reliable system and strive to synchronize the software engineer and data scientist.

Projects you might work on
  • Support cutting edge machine learning frameworks

  • Detect anomalies from large scale input streams

  • We successfully moved our whole frontend from Angular to React

Tech stack
Python
React
Containerization
TensorFlow
Scikit-Learn
Scala

Working at Datatron Technologies

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.

Free Food
Generous Vacation
Workshops/Conferences
Health Insurance
Team Activities
Gym/Fitness
Travel
Other

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