Senior MLOps Engineer (GCP)

[…] is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialize in building and modernizing backend-heavy, integration-critical systems where speed, accuracy, and reliability are non-negotiable. With more than 100 AI and custom software experts across engineering hubs in Lithuania and Poland, we embed ourselves directly in client operations, delivering custom software, automation, and AI where they create the most value.

Clients such as SEB, NordVPN, and car

Vertical trust us with systems that serve millions of users worldwide. We’re looking for a Senior MLOps Engineer to own and improve a telecommunications client’s GCP-based ML platform, enabling data scientists to train and deploy models independently. What You will do Operate and improve secure, reliable ML training and serving infrastructure on GKE and Vertex AI, optimizing GPU usage, capacity, quotas, and costs.

Build reusable templates, CI/CD pipelines, and self-service tools that enable data scientists to deploy models independently. Manage the model lifecycle, including registry, versioning, deployment, rollback, drift monitoring, and serving health. Develop workflows using Kubeflow or Vertex AI Pipelines and collaborate with data engineers on feature and training data flows across BigQuery and Airflow.

Manage infrastructure as code through GitOps, using Config Sync or equivalent tools. Enforce least-privilege access to personally identifiable information and dat