Data and MLOps Engineer
Tasks
- Build RESTful services
- Build data pipelines
- Create real time and batch processing
- Create technical documentation
- Deploy and monitor models
- Design data solutions
- Develop reusable data pipeline assets
- Ensure secure APIs
- Implement MLOps workflows
- Implement cybersecurity standards
- Ingest process and transform industrial datasets
- Integrate plant systems and enterprise applications
- Manage model lifecycle and version control
- Operationalize machine learning models
- Support proof-of-value initiatives
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Azure DevOps | CI/CD | Databricks | Delta Live Tables | Delta Live) | Docker | GCP | Git | GitHub Actions | Kubernetes | MLflow | Mqtt | NoSQL | OPC UA | Python | REST | SQL | Time Series | Time-series databases | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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