AI/ML Ops Engineer (m/w/d)
Core
Design, build, and maintain CI/CD pipelines, scalable ML lifecycle workflows, and efficient data pipelines for training data, logs, and performance metrics to ensure robust, secure, and highly available operation of production AI services.
Role type
Senior IC MLOps Engineer
Builds
Production AI services, ML lifecycle workflows, and data pipelines
Domain
Cloud Engineering / MLOps / AI Infrastructure
Deliverable
production ML models
Required skills
CI/CD pipeline development, MLOps frameworks, cloud engineering (Azure, AWS, GCP), data pipeline design, model deployment optimization, monitoring tool implementation, root cause analysis, system performance monitoring
Preferred skills
Model optimization, hybrid architecture experience, training and knowledge sharing
Technologies
Azure, AWS, GCP, MLOps frameworks
Responsibilities
Develop and maintain CI/CD pipelines for AI models and software releases; Build and operate scalable ML lifecycle workflows from training to monitoring; Automate deployments to production systems; Design and implement efficient data pipelines for training data and metrics; Monitor model performance, system utilization, latency, and reliability; Implement monitoring tools, alerting, and dashboards; Conduct root cause analysis for system failures and anomalies
