Senior ML Engineer, Azure ML & MLOps

Xebiacee; Polska; On-site; PLN 180,000 - 260,000; Full time

Job summary

Xebia is seeking a hands-on ML engineer to own and evolve an existing ML codebase, focusing on productionizing models, pipelines, and validation gates. The role involves building training and inference pipelines in Azure Machine Learning, implementing MLOps practices, and ensuring data quality and model monitoring.

You will collaborate with the BI team and business stakeholders to enable reliable product rollouts.

Qualifications

• Hands-on experience building and productionizing ML models.
• Experience with Azure ML including training and inference pipelines.
• Experience implementing MLOps practices: model registries, versioning, automated retraining, validation gates, monitoring.

Responsibilities

• Take ownership of an existing ML codebase and continue development after knowledge transfer.
• Develop and productionize ML models for recommendations and forecasting tasks.
• Build and maintain training and inference pipelines using Azure ML.
• Implement data quality checks and model validation gates.
• Collaborate with BI team and stakeholders for reliable rollout.
• Participate in testing, dry runs, and operational handover.

Skills

Azure ML

MLOps

Model versioning

Automated retraining

Data validation

Monitoring & drift detection

CI/CD for ML

Git workflows

Tools

Azure Machine Learning

Power BI

Azure DevOps

GitHub Actions

Azure SQL Data Warehouse

Data pipelines

Job description

Xebia is seeking a hands-on ML engineer to own and evolve an existing ML codebase, focusing on productionizing models, pipelines, and validation gates. The role involves building training and inference pipelines in Azure Machine Learning, implementing MLOps practices, and ensuring data quality and model monitoring.

You will collaborate with the BI team and business stakeholders to enable reliable product rollouts.