Machine Learning / MLOps Engineer (Rif. 2026-208)
Core
Design, delivery, and operational management of end-to-end Machine Learning solutions for monitoring the health status of rotating machinery.
Role type
Machine Learning / MLOps Engineer
Builds
Production ML models and MLOps workflows for industrial machinery health monitoring
Domain
Industrial Goods & Communication / Predictive Maintenance
Deliverable
production ML models
Required skills
End-to-end ML lifecycle management, MLOps principles (versioning, reproducibility, CI/CD), Azure Databricks architecture design, Python programming, Machine Learning libraries
Preferred skills
None stated
Technologies
Microsoft Azure, Azure Databricks, Python
Responsibilities
Design ML solutions, Manage full ML model lifecycle (experimentation, training, validation, deployment, monitoring, re-training), Implement and maintain MLOps workflows, Design production ML pipelines, Design and maintain ingestion, transformation, and feature engineering pipelines
Seniority
Mid-level (3+ years experience)