Senior MLOps Engineer (GCP)

Description: Senior MLOps Engineer to enhance a telecommunications client’s GCP-based ML platform. Focus on enabling data scientists to independently train and deploy models. Requirements: 5+ years in MLOps or platform engineering, with 2+ years in production ML infrastructure. Strong experience with Vertex AI, GKE, BigQuery, and Kubernetes. Proficient in Kubeflow Pipelines or Vertex AI Pipelines and Airflow. Experience with GitOps, CI/CD for model deployment, and strong Python skills. Ability to manage a company-wide platform and create self-service tools with documentation. Benefits: Diverse and technically challenging projects. Training budget for professional and personal growth. Flexible working hours and hybrid workplace model. Agile/SCRUM environment with a flexible schedule. Choice of technical equipment.