DevOps Engineer - AI Applications, Fluent Ukrainian

October 15

🇺🇦 Ukraine – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

Apply Now
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Description

• 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. • A solution created to automate support (text communication) for popular CRM systems using ML. • Together we 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.

Requirements

• 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. • 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. • Strong problem-solving skills and ability to work collaboratively in a team environment.

Benefits

• 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.

Apply Now

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