DevOps/MLOps Engineer

Technology
Full-Time

AITRCS is a professional startup of artificial intelligence technology, composed of the best machine learning R & D members. We are developing innovative source technologies and products intending to provide safe and reliable machine learning and artificial intelligence solutions.

AITRICS challenges every day to solve humankind's most critical issues. In particular, various AI technologies, including the 'Uncertainty-aware Attention mechanism' developed by AITRICS, have found and resolve a fatal defect of AI, such as eliminating the 'black box phenomenon.' We would like to improve AI algorithms' understanding and reliability and broaden the boundaries of AI.

In the first step, AITRICS changed the paradigm by solving various medical field problems, which require a high level of reliability and unmistakable evidence through our advanced machine learning technology. Applying this technology, we have achieved the results of developing software for the early prediction of emergencies in hospitals, VitalCare, and a solution for drug discovery based on artificial intelligence.

Based on its excellent technical capabilities and potential, AITRICS has attracted an 8 million dollars Series A investment and received significant attention from the industry. We have a partnership with major domestic and foreign hospitals and leading companies to collaborate. AITRICS is to solve problems in various fields and continuously innovate many industries based on excellent technological capabilities.

Technology Stacks

[Back-end]

  • Language: python, golang Python
  • Framework: Django, Bottle

[Front-end]

  • Language : HTML, Javascript(Typescript), CSS(Sass)
  • Library/Framework : React(Next.js), Vue(Nuxt.js), Rx.js, D3(Observablehq), Jest, webpack, storybook
  • Deployment : Vercel, Docker, Actions(github)

[Infra]

  • AWS : EC2, ECR, S3, RDS, ElasticCache, Codebuild, EKS
  • Docker Service as code : Terraform

[ML]

  • Language: python, golang Python
  • Framework: Django, Bottle

[Collaboration Tool]

  • Github, Confluence, Slack, Trello

Responsibilities

  • Resource management and distributed learning infrastructure construction
  • Implementation of learning automation process
  • Data visualization environment development and operation
  • AI service SaaS platform construction

Basic Qualifications

  • At least 3 years of practical experience or equivalent competency
  • Experience in building backend data infrastructure
  • Understanding of Cloud Platform like AWS
  • Experience in implementing REST API server
  • Those who enjoy learning and applying new skills

Additional Requirement

  • Awarded for algorithm competition or hacking competition
  • Experience in Machine Learning related projects
  • Understanding of various machine learning frameworks such as TensorFlow, PyTorch, and MXNet
  • Experience in using kubernetes and operating servers
  • Those who have built a pipeline for automation of development, distribution, and operation
  • Experience in building or developing monitoring systems