Наши требования
Bachelor’s degree in Computer Science, Engineering, or a related field
Proven experience as a DevOps Engineer or SRE, with a strong background in software development and automation
Knowledge of Generative AI Operations
Expertise in deployment and management of LLMs, including technologies like RAG
Proficient in CI/CD tools (Jenkins, GitLab CI, CircleCI) and infrastructure as code (Terraform, Ansible)
Solid knowledge of container orchestration technologies (Kubernetes, Docker)
Familiarity with MLOps tools and practices to support machine learning lifecycle management
Experience with cloud services (AWS, GCP, Azure), particularly in AI/ML deployments
Background in monitoring tools like Prometheus, Grafana, and ELK stack
Understanding of Python, particularly in data science and machine learning contexts
Certification in Kubernetes, AWS/GCP/Azure, or similar technologies