Taro Logo

(Fluent Ukrainian) DevOps Engineer for AI Applications

A company that provides outsourcing solutions for tech teams
Kyiv, Ukraine, 02000Lviv, Lviv Oblast, Ukraine, 79000Odesa, Odesa Oblast, Ukraine, 65000
DevOps
Mid-Level Software Engineer
Remote
2.5+ years of experience
AI · Enterprise SaaS
This job posting may no longer be active. You may be interested in these related jobs instead:

Description For (Fluent Ukrainian) DevOps Engineer for AI Applications

We're seeking a dynamic and innovative DevOps Engineer for AI Applications who thrives on turning complex challenges into seamless solutions and is passionate about driving the future of AI in production environments. If you love creating cutting-edge products and pioneering new features, join our team to revolutionize how machine learning models are deployed, monitored, and maintained at scale.

Our product is a solution created to automate support (text communication) for popular CRM systems using ML. The product is currently in production. Our team already includes an experienced CEO & CTO with a background in Data Science and Machine Learning, Front-End, Back-end developers, Machine Learning Engineer, Marketing Manager, and Designer.

As a DevOps Engineer for AI Applications, you will:

  • Deploy and maintain AI applications in production environments
  • Design and implement CI/CD pipelines to automate deployment processes
  • Monitor system performance and implement optimizations as needed
  • Collaborate with ML engineers and data scientists to integrate AI models seamlessly
  • Manage infrastructure using containerization and orchestration tools
  • Ensure security and compliance standards are met in all deployments

We offer:

  • Compensation in USD
  • Remote work in Ukraine or in a similar time zone
  • Adequate, friendly management and no bureaucracy
  • Cozy startup atmosphere with stability from a holding company
  • Plenty of interesting talks and communication with the team

Join us to be at the forefront of AI technology deployment and make a significant impact in the field of machine learning operations.

Last updated 8 months ago

Interested in this job?