MLOps Engineer: Scalable ML Infra on GCP & Kubernetes

IntelligenzIT; Polska; On-site; PLN 180,000 - 240,000; Full time

Job summary

IntelligenzIT is seeking an experienced MLOps Engineer in Poland to build and operate scalable ML infrastructure on Google Cloud Platform. You will own deployment pipelines, model serving, and telemetry, driving automation and reliability across Kubernetes-based environments.

You will collaborate with data scientists and software engineers to optimize workflows, implement monitoring, logging, and CI/CD for ML workloads, and support production-grade ML systems at scale.

Qualifications

• Experience deploying and operating production ML systems.
• Strong cloud infrastructure and automation skills.
• Hands-on with Kubernetes-based deployments.

Responsibilities

• Deploy and operate scalable ML inference services.
• Build and optimize ML deployment pipelines.
• Implement monitoring and observability for ML services.

Skills

MLOps

Cloud infrastructure

Deployment automation

Model serving

Observability

Tools

Kubernetes

GKE

Helm

Istio

NVIDIA Triton

Prometheus

Grafana

Apache Airflow

Cloud Composer

GitHub Actions

Google Cloud Build

Git

Google Cloud Storage

Job description

IntelligenzIT is seeking an experienced MLOps Engineer in Poland to build and operate scalable ML infrastructure on Google Cloud Platform. You will own deployment pipelines, model serving, and telemetry, driving automation and reliability across Kubernetes-based environments.

You will collaborate with data scientists and software engineers to optimize workflows, implement monitoring, logging, and CI/CD for ML workloads, and support production-grade ML systems at scale.