AI/ML Technical Architect Lead
Tasks
- Apply cybersecurity and data governance in workflows
- Build automation frameworks
- Build predictive analytics capabilities
- Conduct threat assessments and authorization documentation
- Design AI/ML solution architecture
- Develop and deploy AI/ML models
- Ensure explainability and bias mitigation
- Implement MLOps pipelines
- Integrate AI ML in secure regulated environments
- Integrate AI ML into decision support systems
- Lead AI/ML strategy
- Manage model lifecycle validation and monitoring
- Mentor engineers and provide technical guidance
- Support compliance and audit governance reviews
- Transition prototypes into production systems
Perks/Benefits
- 401k matching
- Career development resources
- Comprehensive medical plans
- Dental and vision insurance
- Flexible work arrangements
- Paid family leave
- Paid time off
Skills/Tech-stack
AI Foundry | AWS Bedrock | AWS GovCloud | AWS SageMaker | Agentic AI | Audit compliance | Authorization | Azure AI | Azure AI Foundry | Azure Government | Bias Mitigation | Configuration Management | Cybersecurity | Data Governance | Google Vertex | Google Vertex AI | Incident Response | Java | MLOps | Machine Learning | Model Explainability | Model Monitoring | PyTorch | Python | R | Retrieval-Augmented Generation | Risk Management | Salesforce | Salesforce Agentforce | TensorFlow | Vertex AI | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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