AI/ML Technical Architect Lead
Tasks
- Build predictive analytics capabilities
- Collaborate with security and business stakeholders
- Develop MLOps and model lifecycle management
- Develop integrate and deploy AI ML models
- Ensure compliance with risk management frameworks
- Implement explainability and bias mitigation
- Integrate AI ML solutions into secure enterprise environments
- Lead AI/ML strategy and architecture
- Mentor engineers and provide technical guidance
- Monitor validate and manage AI ML model performance
- Support security risk management and governance reviews
- Transition prototypes into production systems
Perks/Benefits
- 401k matching
- Career development resources
- Comprehensive medical plans
- Dental and vision insurance
- Flexible work arrangements
- Internal mobility support
- Life insurance coverage
- Long-Term Disability coverage
- Paid Holidays
- Paid time off
- Short-term disability
Skills/Tech-stack
AI Foundry | AWS | AWS Bedrock | AWS GovCloud | Agentic AI | Amazon SageMaker | Authorization Documentation | Azure | Azure AI | Azure AI Foundry | Bias Mitigation | Configuration Management | Cybersecurity | Data Governance | Explainable AI | Google Cloud | 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
Roles
AI | AI Architect | Architect | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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