Solutions Architect (AI/ML)
Tasks
- Automate releases
- Build CI/CD pipelines
- Build machine learning pipelines
- Collaborate on planning dependencies and risk management
- Communicate technical decisions to stakeholders
- Contribute hands on proofs of concept
- Create architecture documentation
- Create runbooks and onboarding materials
- Design data ingestion pipelines
- Design integration layers using APIs
- Design model lifecycle processes
- Design reference architectures for AI ML use cases
- Implement observability practices
- Implement security architecture
- Lead technical discovery
- Shape solution approaches and delivery models
- Support AI productization
- Support AIOps and DevOps initiatives
- Translate business requirements into technical options
- Use infrastructure as code
Perks/Benefits
Skills/Tech-stack
AIOps | API | AWS | CI/CD | Cloud platform | Data Ingestion | DevOps | Frontend | Google Cloud | Google Cloud Platform | Infrastructure as Code | Machine Learning | Microsoft Azure | Model Lifecycle | Observability | Security | “as-code”
Education
N/A
Roles
AI | AI/ML Architect | Architect | ML Architect | Solutions Architect
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