Looyas
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 environ 14 heures

Stage
⏱️4-6 mois
💼Présentiel
📅Expire dans 13 jours
1% aujourd’hui > 0%.

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)