AI/ML Technical Architect Lead
Tasks
- Build automation frameworks and decision support solutions
- Conduct security risk assessments and support audits
- Design predictive analytics capabilities
- Develop and deploy scalable AI/ML models
- Ensure compliance with cybersecurity and risk frameworks
- Integrate AI ML into secure regulated environments
- Lead AI ML strategy and solution architecture
- Manage data engineering pipelines and MLOps processes
- Mentor engineers and guide cross-functional teams
- Monitor models and mitigate bias
- Provide hands on technical leadership across ML lifecycle
- Transition prototypes into production systems
Perks/Benefits
- 401k match
- Career development resources
- Dental insurance
- Disability coverage
- Flexible work arrangements
- Health insurance
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid time off
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS Bedrock | AWS GovCloud | AWS SageMaker | Agentic AI | Authorization Documentation | Azure AI | Azure AI Foundry | Azure Government | Bias Mitigation | Cloud Security | Configuration Management | Data Governance | Explainable AI | Google Vertex | Google Vertex AI | Incident Response | Java | MLOps | Machine Learning | Model Monitoring | Model Validation | PyTorch | Python | R | Retrieval-Augmented Generation | TensorFlow | Threat Assessment | Vertex AI | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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