Solutions Architect (AI/ML)
Tasks
- Automate releases
- Build data pipelines
- Build infrastructure as code
- Build proofs of concept
- Collaborate on planning dependencies and risk management
- Communicate technical decisions to stakeholders
- Create architecture documentation
- Create runbooks and onboarding materials
- Define integration layers
- Design data ingestion pipelines
- Design model lifecycle management
- Design reference architectures for AI ML
- Implement CI/CD pipelines
- Implement observability and monitoring
- Implement security architecture
- Lead technical discovery
- Shape solution approaches and delivery models
- Support AI productization
- Support AIOps
- Support MLOps
- Translate business requirements into technical options
Perks/Benefits
Skills/Tech-stack
AIOps | API Design | AWS | CI/CD | Cloud platform | Data Ingestion | DevOps | Google Cloud | Google Cloud Platform | Infrastructure as Code | MLOps | Machine Learning | Microsoft Azure | Monitoring | Observability | Pipeline engineering | Release automation | Security Architecture | “as-code”
Education
N/A
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