Remote DevOps Engineer for AI Applications (Fluent Ukrainian or English)

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 creating cutting-edge products and pioneering new features to revolutionize how machine learning models are deployed, monitored, and maintained at scale.
• The product is a solution created to automate support (text communication) for popular CRM systems using machine learning and is currently in production.
• The team consists of an experienced CEO & CTO with a background in Data Science and Machine Learning, Front-End and Back-end developers, a Machine Learning Engineer, a Marketing Manager, and a Designer.
• Responsibilities include deploying and maintaining AI applications in production environments, designing and implementing CI/CD pipelines, monitoring system performance, collaborating with ML engineers and data scientists, managing infrastructure using containerization and orchestration tools, and ensuring security and compliance standards are met in all deployments.

Requirements:

• Candidates must have 2.5-3 years of commercial experience in a related role, preferably with experience in AI application deployment.
• Hands-on experience in deploying and maintaining AI applications in production environments is required.
• Proficiency with containerization technologies, such as Docker, and orchestration tools like Kubernetes is necessary.
• Experience with monitoring and logging tools, such as Prometheus, Grafana, or the ELK Stack is essential.
• A strong knowledge of CI/CD pipelines and tools, like Jenkins or GitLab CI/CD, to automate deployment processes is needed.
• Candidates 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.
• Proficiency in Git and an understanding of branching, merging, and pull requests are required.
• A 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 the ability to work collaboratively in a team environment are essential.

Benefits:

• The position offers compensation in USD.
• Remote work is available in Ukraine or in a similar time zone.
• The company provides adequate, friendly management with no bureaucracy.
• Employees will enjoy a cozy startup atmosphere with stability from a holding company.
• There will be plenty of interesting talks and communication with the team.