AI/ML Engineer SME
USA LA Home Office (LAHOME), United States
R
USD 195K-264K Senior-level Full Time
Tasks
- Apply MLOps best practices
- Define AI/ML architecture
- Deploy machine learning models
- Design AI/ML services and APIs
- Ensure responsible AI practices
- Implement AI/ML pipelines
- Integrate AI ML metrics into dashboards
- Maintain AI ML architecture documentation
- Monitor model performance
- Provision cloud AI ML infrastructure with IaC
- Retrain machine learning models
- Select and integrate third party ML tools
- Validate and optimize models
Perks/Benefits
- N/A
Skills/Tech-stack
800-53 | AWS | AWS Cloud | AWS Cloud Development Kit | AWS SageMaker | AWS cloud development | Apache Airflow | Artificial Intelligence | Azure | Azure Machine Learning | CI/CD | Cloud Development Kit | CloudFormation | Data Analysis | Data Science | Distributed Systems | Docker | FedRAMP | Google Cloud | Google Vertex | Google Vertex AI | Infrastructure as Code | JISF | Keras | Kubeflow | Kubernetes | MLflow | Machine Learning | Multi-tenant | Multi-tenant systems | NIST 800 | NIST 800-53 | PyTorch | Python | Scikit-learn | TFX | TensorFlow | Terraform | Vertex AI | XGBoost | “as-code”
Education
Roles
AI | AI/ML Engineer | Architect | Engineer | Learning Architect | ML Engineer | Machine Learning Architect
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