Poland | Data and MLOps Engineer
Tasks
- Build and maintain real-time and batch data pipelines
- Deploy and monitor models in cloud and edge environments
- Design and implement scalable data solutions for industrial environments
- Design implement and maintain MLOps workflows and infrastructure
- Develop reusable data pipeline and MLOps assets
- Ensure cybersecurity alignment with network architecture best practices
- Implement integration across plant systems and enterprise applications
- Ingest process and transform time series and sensor data
- Operationalize machine learning and optimization models into production systems
- Provide technical documentation for scalable implementations
- Support proof of value initiatives and pilot deployments
Perks/Benefits
Skills/Tech-stack
AVEVA PI System | AWS | Aveva PI | Azure | Azure DevOps | CI/CD | Databricks | Delta Live Tables | Delta Live) | Docker | GCP | Git | GitHub Actions | Kubernetes | MLflow | Mqtt | OPC UA | PI System | Python | RAG | REST APIs | Retrieval-Augmented Generation | SQL | Unity Catalog
Education
Roles
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