Datumo

Mid/Senior MLOps Engineer (GCP / Azure / Kubernetes) 100% Remote

20k - 30k PLN20 000 - 30 000 PLN/ mies./ mies.B2BB2B (netto)

MidZdalnieFull-time·B2B

#393149·Dodano 3 miesiące temu·18

Źródło: Datumo

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Tech Stack / Keywords

MLOpsGCP Azure Kubernetes Big DataCloudAISnowflake

Firma i stanowisko

Datumo is a Big Data & Cloud company specializing in data platforms, data engineering, cloud modernization, and practical AI solutions. They work with large organizations including Żabka Polska, G2A, and LPP SA. Datumo is a Google Cloud Managed Partner, Azure Partner, and Snowflake Partner with strong expertise in GCP, Azure, Snowflake, and Databricks ecosystems.

Wymagania

3+ years of commercial experience in MLOps, ML Engineering, DevOps, Data Engineering, cloud or backend engineering with production ML workloads
Experience with Azure or Google Cloud
Strong Python skills including testing, packaging, and dependency management
Hands-on experience with Docker and Kubernetes
Practical knowledge of CI/CD, Git workflows, and deployment automation
Understanding of the ML lifecycle: tracking, versioning, deployment, inference, monitoring, and rollback
Basic knowledge of ML concepts such as metrics, reproducibility, and data or model drift
English at B2+ level and communicative Polish

Nice to have:

Experience with Vertex AI, Azure Machine Learning, Databricks, or Snowflake
Knowledge of MLflow, Kubeflow or similar platforms
Experience with Airflow, Prefect, or Dagster
Infrastructure-as-Code experience, preferably Terraform or Bicep
Experience with Helm and Kubernetes deployment automation
Experience with batch or real-time inference and model serving
Knowledge of model monitoring, drift detection, and automated retraining
Experience with Prometheus, Grafana, or cloud monitoring tools
Understanding of cloud security fundamentals
Relevant cloud, Kubernetes, or DevOps certifications

Obowiązki

Turning model experiments into production-ready services
Building deployment and automation processes
Setting up monitoring and observability for model-serving environments
Improving reliability, scalability, and maintainability of MLOps platforms
Working with Kubernetes in cloud environments
Supporting governance and security requirements

Benefity

20,000 - 30,000 PLN net + VAT per month on B2B
20 days off
100% remote work
Training budget and support in cloud certifications
Work with a specialized team of around 60 data experts
Projects in real enterprise cloud and data environments
Private medical care
Sports package
English lessons
Team integrations

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Dofinansowanie szkoleń

Opieka zdrowotna

Karta sportowa

Kursy językowe

Spotkania integracyjne

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