Senior MLOps Engineer

Xebia Poland

full-time

Posted on: 9/22/2025

Origin: • 🇵🇱 Poland

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Senior

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPyTorchSparkTensorflowTerraform

About the role

Collaborate with Platform Engineers to set the infrastructure required to run MLOps processes efficiently
Implement ML workflows and automate CI/CD pipelines
Automate model deployment and implement model monitoring
Collaborate with Platform Engineers to implement backup and disaster recovery processes for ML workflows, especially models and experiments
Collaborate with stakeholders to understand key challenges and inefficiencies in ML project lifecycles
Keep up to date with trends and advancements in data engineering and machine learning

2+ years of experience developing and deploying machine learning systems into production
5+ years of experience as a MLOps engineer or data engineer or software developer
Hands-on experience with cloud environments (AWS / Azure / GCP)
Experience with tools such as Spark, PyTorch, TensorFlow and MLFlow
Knowledge of DevOps practices and tools, including Terraform
Experience with Docker and Kubernetes
Understanding of CI/CD practices and experience with tools like GitHub Actions or GitLab CI
Excellent verbal and written communication skills in English (minimum B2 implied)
Work from the European Union region and a valid work permit required
Active VAT status in the EU VIES registry required
Cloud certification (Azure, AWS, GCP) is a plus
Familiarity with Amazon SageMaker / Azure Machine Learning / VertexAI is nice to have