Senior MLOps Engineer (GCP / Kubeflow)

On behalf of our client, we are looking for a Senior MLOps Engineer (GCP / Kubeflow)

 Requirements:

- Strong experience in MLOps / ML infrastructure

- Hands-on experience with GCP (Vertex AI, GCS, BigQuery, Cloud Run)

- Experience with Kubeflow, Docker, and Kubernetes

- Strong Python skills

- Experience building ML training & evaluation pipelines

- Experience with CI/CD and Infrastructure as Code (Pulumi or similar)

- Experience with model monitoring & observability tools (Grafana, TensorBoard, etc.)

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews