DevOps Engineer - AI Applications

October 12

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Description

• Seeking a dynamic and innovative DevOps Engineer for AI Applications. • Passionate about driving the future of AI in production environments. • Join our team to revolutionize machine learning model deployment at scale. • Deploy and maintain AI applications in production environments. • Design and implement CI/CD pipelines to automate deployment processes. • Collaborate with ML engineers and data scientists to integrate AI models.

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.