DevOps Engineer (AI, GitLab)
Core
Design and maintain AI infrastructure, automate MLOps pipelines, and support the operationalization of machine learning models in cloud and hybrid environments.
Role type
Senior DevOps Engineer (AI/MLOps)
Builds
Scalable AI services, model training pipelines, and production-ready ML applications.
Domain
Artificial Intelligence, Machine Learning Operations, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
GitLab CI/CD, Docker, Kubernetes, Terraform, Python, AWS or Azure, Haystack, Langchain, Prometheus, Grafana, PostgreSQL, Elastic Search
Preferred skills
Data Science principles, Infrastructure as Code, observability, database management, search engine optimization
Technologies
GitLab, Docker, Kubernetes, Terraform, AWS, Azure, Haystack, Langchain, Prometheus, Grafana, PostgreSQL, Elastic Search
Responsibilities
Design and maintain AI infrastructure including compute, storage, and GPU resources; Build and maintain CI/CD and MLOps pipelines for code and data workflows; Manage containerization and orchestration for AI applications; Support model operationalization from development to production; Monitor systems and model services for performance and availability; Implement security and compliance controls for infrastructure and data; Manage environments and configuration using Infrastructure as Code; Collaborate with data scientists and AI engineers; Troubleshoot and improve operations for resilience and efficiency.
Seniority
Senior, hands-on IC
