AI/ML Technical Architect Lead
Tasks
- Build decision support systems
- Build predictive analytics
- Conduct governance reviews
- Deploy AI/ML models
- Design AI/ML solution architecture
- Develop AI/ML models
- Develop automation frameworks
- Ensure AI/ML compliance
- Implement explainability
- Implement model monitoring
- Integrate AI/ML systems
- Integrate cybersecurity controls
- Lead AI/ML strategy
- Lead MLOps processes
- Maintain configuration management
- Manage model lifecycle
- Mentor engineers
- Mitigate bias
- Perform security risk assessments
- Support authorization documentation
- Support incident response documentation
- Transition prototypes to production systems
Perks/Benefits
- 401k match
- Dental insurance
- Disability coverage
- Flexible work arrangements
- Health insurance
- Life insurance
- Paid Holidays
- Paid family leave
- Paid time off
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS | AWS Bedrock | AWS GovCloud | Agentic AI | Amazon SageMaker | Azure | Azure AI | Azure AI Foundry | Bias Mitigation | Compliance | Cybersecurity | Data Governance | Explainable AI | Google Cloud | Incident Response | Java | Lifecycle Management | MLOps | Machine Learning | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Public Trust | Public Trust Clearance | PyTorch | Python | R | RAG | Retrieval-Augmented Generation | Salesforce | Salesforce Agentforce | TensorFlow | Threat Assessment | Vertex AI | Zero Trust
Education
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