ML Ops Engineer (on-site)
Timișoara, Timiș, Romania
RON 258K-359K (estimate) Senior-level Full Time
Tasks
- Build data pipelines
- Collaborate with research and ML engineers
- Deploy machine learning models
- Design data pipelines
- Develop data architectures using AWS
- Ensure security compliance for ML pipelines
- Ensure security compliance for model deployments
- Implement alerting for data pipelines
- Implement data enrichment
- Implement data ingestion
- Implement data storage
- Implement data transformation
- Implement logging for data pipelines
- Implement monitoring for data pipelines
- Maintain data pipelines
- Set up SageMaker environments
- Version test datasets
Perks/Benefits
Skills/Tech-stack
AWS | AWS CloudFormation | AWS SageMaker | Amazon Kinesis | Apache Kafka | Data Versioning | Data orchestration | Docker | Feature Store | Kubernetes | MLflow | Machine Learning | Machine Learning Model Monitoring | Model Deployment | Model Monitoring | Power BI | Python | Tableau | Terraform
Education
N/A
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