AI/MLOps Engineer
São Paulo, State of São Paulo, Brazil - Remote
R
BRL 230K-265K (estimate) Senior-level Full Time
Tasks
- Analyze production data
- Automate machine learning workflows
- Build monitoring and observability solutions
- Create operational documentation
- Debug AI workflows
- Deploy machine learning pipelines
- Design machine learning infrastructure
- Develop model testing framework
- Develop prompt evaluation framework
- Improve system performance
- Improve system reliability
- Incorporate user feedback into models
- Maintain machine learning pipelines
- Manage prompt versioning
- Monitor model performance
- Optimize cloud resource utilization
- Participate in incident response
- Perform regression testing
- Run A B testing for prompts
- Support AI ML deployment in production
- Support scaling and maintenance in production
- Track logs metrics traces
- Troubleshoot infrastructure failures
- Troubleshoot orchestration pipelines
- Validate quality for LLM systems
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CI/CD | CloudWatch | Datadog | Distributed Systems | Docker | Google Cloud | Grafana | Infrastructure as Code | Kubernetes | LLM | Logging | Machine Learning | Machine Learning Pipelines | Metrics | Model Evaluation | Observability | Orchestration | Prometheus | Prompt engineering | Python | RAG | Regression testing | Tracing | Vector Databases | “as-code”
Education
N/A
Roles
AI | AI/MLOps Engineer | Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer
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