Get our free app. It won't take up space on your device
Get our free app. It won't take up space on your device

Machine Learning engineer

Industry: Information Technologies

City: Yerevan

Employment type: Full time

Deadline: 11/3/2021

About Plat AI

Here at Plat AI, we are a team of data scientists/Machine learning engineers who are utilizing the power of machine learning to solve existing problems of our clients and proactively designing new optimization tools to take our clients to the next edge of innovation and development.


Machine Learning engineer

In this role you will:

  • Translate unstructured business problems into well-defined machine learning projects
  • Collaborate with a cross-functional team of Product Managers and Developers to identify existing problems on time, prepare modeling solutions, and apply them in real-time environments.
  • Build and deploy models for real-time predictions
  • Build model performance monitoring tools/use the existing tools in the system to keep track of production-level models’ performance
  • Prepare documentation for custom models
  • Effectively communicate outcomes of analytics models to a non-statistical audience

We are looking for:

  • Degree in a quantitative discipline
  • Relevant experience doing ML work either in financial services or technology company is desired
  • Experience designing, developing, and deploying machine learning models/algorithms
  • Extensive programming experience in Python and/or R and an interest in learning new languages and technologies
  • Experience in building custom dashboards is also desired,
  • Knowledge of data structures and data engineering solutions is desired,
  • Intermediate or upper level of English

Perks and benefits:

  • People – the best part of
  • Health insurance
  • Contribution to a gym membership plan
  • Contribution to the costs associated with job-related continuous training and development

How to apply

If your profile meets the mentioned requirements and you are motivated to work in a hard-working and continuously learning-addicted family of data scientists, send your CV in English.

How to apply?

Log in or send your resume
Email is required
Password is required

Send your resume to

[email protected]