Senior MLOps Engineer - Anti-Fraud & Compliance Platform
Tasks
- Build MLops pipelines
- Collaborate to deploy machine learning infrastructure
- Create model versioning and model registry
- Develop MLOps strategy
- Enable ML observability
- Enhance fraud detection systems
- Implement data ingestion
- Implement model deployment
- Implement model evaluation
- Implement model monitoring
- Implement model training
- Own development lifecycle including incident response
- Set up CI CD for ML workflows
Perks/Benefits
Skills/Tech-stack
AWS | Amazon SageMaker | Amazon SageMaker Pipelines | Apache Airflow | Argo CD | CI/CD | Cloud platform | Distributed Systems | Docker | GitHub Actions | GitLab CI | Google Cloud | Google Cloud Platform | Grafana | Jenkins | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Metaflow | Microsoft Azure | Model Governance | Model Monitoring | NoSQL | Prometheus | Python | SQL | Sagemaker Pipelines
Education
N/A
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