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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.
Job title
Job type
Experience level
Required experience
5 years
Salary
-
Degree requirement
No degree requiredSkills
Location requirements
Poland
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