Artificial Intelligence & Machine Learning Architect SME
USA LA Home Office (LAHOME), United States
R
USD 195K-264K Senior-level Full Time
Tasks
- Architect end-to-end AI/ML pipelines
- Define AI/ML architecture
- Design reusable secure AI ML services and APIs
- Document AI ML architecture
- Ensure responsible AI fairness transparency
- Guide teams on third party ML tool selection and integration
- Implement continuous integration and continuous delivery for ML models
- Implement data ingestion feature engineering model training deployment monitoring retraining
- Integrate AI ML metrics resource utilization performance KPIs
- Integrate MLOps best practices
- Maintain AI ML architecture documentation
- Maintain scalable modular AI ML architecture
- Provision manage cloud AI ML infrastructure with IaC
- Update artifacts per sprint cycles
- Validate and optimize models in cloud
Perks/Benefits
- N/A
Skills/Tech-stack
800-53 | AWS CloudFormation | AWS SageMaker | Airflow | Artificial Intelligence | Azure Machine Learning | Big Data | CI/CD | Cloud Native | Cloud Native Architecture | Data Analysis | Data Ingestion | Distributed Systems | Docker | Feature Engineering | FedRAMP | Google Vertex | Google Vertex AI | Infrastructure as Code | JISF | Keras | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Monitoring | Model retraining | Multi-tenant | Multi-tenant architecture | NIST 800 | NIST 800-53 | PyTorch | Python | Scikit-learn | TFX | Tenant architecture | TensorFlow | Terraform | Vertex AI | XGBoost | “as-code”
Education
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