DevOps Engineer for AI Applications

Há 2 dias


Rio Grande do Sul, Brasil Outstaff Your Team Tempo inteiro
DevOps Engineer for AI Applications

We're seeking a skilled DevOps Engineer to join our team and help drive the future of AI in production environments. As a key member of our team, you'll be responsible for deploying and maintaining AI applications, designing and implementing CI/CD pipelines, and collaborating with ML engineers and data scientists to integrate AI models seamlessly.

Key Responsibilities:
  • 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
Requirements:
  • 2.5-3 years of commercial experience in a related role (e.g., DevOps Engineer, Infrastructure Engineer)
  • Hands-on experience in deploying and maintaining AI applications in production environments
  • 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
  • Strong knowledge of CI/CD pipelines and tools, like Jenkins or GitLab CI/CD, to automate deployment processes
  • 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
  • Understanding of infrastructure as code (IaC) tools, such as Terraform or CloudFormation
  • Familiarity with configuration management tools, like Ansible, Chef, or Puppet
  • Proficiency in Git and understanding of branching, merging, and pull requests
  • Basic understanding of MLOps practices and tools, such as MLflow or Kubeflow, is a plus
  • Experience with cloud-based ML services, like AWS SageMaker, Azure ML, or Google AI Platform, is advantageous
What 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


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