Remote (Fluent Ukrainian) DevOps Engineer for AI Applications

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Description:

  • We are 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.
  • The role involves deploying and maintaining AI applications in production environments.
  • You will design and implement CI/CD pipelines to automate deployment processes.
  • Monitoring system performance and implementing optimizations as needed is a key responsibility.
  • Collaboration with ML engineers and data scientists to integrate AI models seamlessly is essential.
  • You will manage infrastructure using containerization and orchestration tools.
  • Ensuring security and compliance standards are met in all deployments is a critical task.

Requirements:

  • You will need 2.5-3 years of commercial experience in a related role (e.g., DevOps Engineer, Infrastructure Engineer), preferably with experience in AI application deployment.
  • Hands-on experience in deploying and maintaining AI applications in production environments is required.
  • You must have proficiency with containerization technologies, such as Docker, and orchestration tools like Kubernetes.
  • Experience with monitoring and logging tools, such as Prometheus, Grafana, or the ELK Stack, is necessary.
  • A strong knowledge of CI/CD pipelines and tools, like Jenkins or GitLab CI/CD, to automate deployment processes is essential.
  • You should have experience with at least one major cloud platform, such as AWS, Azure, or Google Cloud.
  • Solid scripting skills using languages like Bash and Python for automation tasks are required.
  • An understanding of infrastructure as code (IaC) tools, such as Terraform or CloudFormation, is necessary.
  • Familiarity with configuration management tools, like Ansible, Chef, or Puppet, is important.
  • You must have proficiency in Git and an understanding of branching, merging, and pull requests.
  • A basic understanding of MLOps practices and tools, such as MLflow or Kubeflow, is a plus.
  • Strong problem-solving skills and the ability to work collaboratively in a team environment are essential.

Benefits:

  • We offer compensation in USD.
  • The position allows for remote work in Ukraine or in a similar time zone.
  • You will experience adequate, friendly management and no bureaucracy.
  • The company provides a cozy startup atmosphere with stability from a holding company.
  • There will be plenty of interesting talks and communication with the team.
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