Machine Learning Engineer - 5
Tasks
- Automate model QA pipelines
- Build CI CD and orchestration workflows
- Build documentation and improve team processes
- Containerize models
- Coordinate model registries and promotion workflows
- Deploy and version models
- Deploy models with rollback
- Ensure ML governance security and compliance
- Implement A/B testing frameworks
- Implement model testing and validation pipelines
- Maintain model reproducibility and lineage
- Manage access controls and audit logs
- Manage model versioning
- Monitor models for data drift and concept drift
- Monitor production performance degradation
- Refactor model code
- Tune model performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Amazon SageMaker | Argo Workflows | Azure Machine Learning | Bash | CircleCI | Cloud platform | CloudFormation | CloudWatch | Databricks Feature Store | Datadog | Docker | ELK | Elasticsearch | Feast | Feature Store | GitHub Actions | GitLab CI | Go | Google Cloud | Google Cloud Platform | Grafana | Keras | Kibana | Kubeflow | Kubernetes | Kubernetes (AKS | Kubernetes EKS | Kubernetes GKE | MLflow | Machine Learning | OpenShift | Prometheus | PyTorch | Python | Ruby | Scikit-learn | Tecton | TensorFlow | Terraform | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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