AI/ML Ops Engineer (m/w/d)
Core
Design, implement, and operate scalable ML lifecycle workflows, CI/CD pipelines, and data pipelines for training data, logs, and performance metrics to ensure robust, secure, and high-availability production of AI services.
Role type
Senior IC MLOps Engineer
Builds
Production AI services, scalable ML lifecycle workflows, and automated deployment pipelines
Domain
Cloud infrastructure and Machine Learning Operations
Deliverable
production ML models | infrastructure
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 tuning
Preferred skills
Experience in model optimization, hybrid architecture knowledge, 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, alerts, and dashboards; Conduct root cause analysis for system failures or data anomalies
