MLOps / AI Operations Engineer
Salary not listed • Bucharest • Full-time
Posted 1mo ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
This role focuses on industrializing AI delivery by building automated deployment, evaluation, observability, and reliability engineering processes. You will be instrumental in creating robust CI/CD pipelines for AI services, prompts, agent configurations, and infrastructure. The position involves automating environment provisioning, testing, deployment, and rollback procedures, as well as implementing comprehensive monitoring, alerting, and operational dashboards for AI models and agents. A key aspect will be operationalizing evaluation thresholds, incident handling, and continuous improvement loops to ensure the reliability and efficiency of AI systems.
Responsibilities
- Build CI/CD pipelines for AI services, prompts, agent configurations, infrastructure, and evaluation assets.
- Automate environment provisioning, testing, deployment, rollback, and release evidence.
- Implement tracing, logging, model and agent monitoring, alerts, and operational dashboards.
- Operationalize evaluation thresholds, incident handling, and continuous-improvement loops.
- Monitor latency, capacity, token usage, infrastructure consumption, and cost drivers.
- Define runbooks, service ownership, and production support handover.
Requirements
- 4+ years in DevOps, platform engineering, ML engineering, SRE, or cloud operations.
- Strong automation, containers, cloud services, observability, and Infrastructure as Code capabilities.
- Experience deploying or operating ML, generative AI, or distributed application workloads.
- Understanding of release controls, reliability, security, and cost optimization.