Founding AI Platform Engineer (MLOps / Backend)
Tasks
- Build and maintain GenAI service infrastructure
- Build and maintain ML model infrastructure
- Build dataset and configuration reproducibility
- Build model and prompt lifecycle management
- Collaborate with ML and product teams
- Convert recurring issues into engineering improvements
- Deploy and serve ML models
- Develop ML pipelines
- Develop backend services and APIs
- Establish engineering standards and tooling
- Establish observability for applications and models
- Implement automated testing
- Improve CI/CD pipelines
- Improve platform cost-efficiency
- Improve platform reliability and scalability
- Improve platform security and performance
- Manage environments
- Manage releases and rollbacks
- Measure model and product changes
- Monitor model performance
- Support experimentation infrastructure
- Troubleshoot production issues
Perks/Benefits
Skills/Tech-stack
APIs | Automated testing | Backend Services | CI/CD | Cloud infrastructure | Cost Optimization | Experimentation | GenAI | LLM serving | Latency optimization | Lifecycle Management | MLOps | Machine Learning | Model Lifecycle | Model Lifecycle Management | Monitoring | Observability | Performance Engineering | Prompt versioning | Python | Release Management | Reproducibility | Retrieval and Search | Rollback strategies | Scalability | Security | Vector Search
Education
N/A
Roles
AI | AI Platform Engineer | Backend | Backend Engineer | Engineer | MLOps Engineer | Platform Engineer
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