Looyas
Tunisie
MLOps / Data - CL-09 - MLOps for Active Agents
Bases de données vectorielles & MLOpsObservability & MetricsAI & Data EngineeringMonitoring & EvaluationML LifecycleSoftware Engineering (Python)DevOps (CI/CD, Kubernetes, Docker)
Publié il y a 21 jours
Stage
⏱️4-6 mois
💼Présentiel
📅Expiré il y a 7 jours
Supprime les fautes (outil / relecture).
Description du poste
- Implement an MLOps pipeline to monitor, manage, and maintain AI agents in production
- Collect and validate data continuously; track performance metrics and trigger alerting
- Ensure agent behavior is reliable, observable, and auditable; enable proactive issue detection
Technologies/Tools:
- Python
- MLflow or similar experiment tracking
- Prometheus / Grafana
- CI/CD pipelines
- Data validation frameworks
- Kubernetes (optional)