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

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.

• 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

• 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