Analyst, Business Intelligence
Tasks
- Build CI/CD pipelines and automate testing
- Build data validation and anomaly detection pipelines
- Design distributed and event-driven systems
- Design scalable cloud-native applications
- Develop APIs and backend services
- Develop business rule engines for KPI deviation analysis
- Fine tune SLM models for edge deployments
- Implement generative AI solutions with prompt engineering
- Implement monitoring and observability
- Integrate large language models for business insights
- Perform code reviews and ensure code quality
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Azure OpenAI | CI/CD | Distributed Systems | Docker | Edge Computing | GCP | Generative AI | Git | Grafana | Infrastructure as Code | Kubernetes | Langchain | Language Models | Large Language Models | Logging | Microservices | Monitoring | Object-Oriented | Object-oriented programming | Observability | OpenTelemetry | Pandas | Polars | Prometheus | Prompt engineering | Pulumi | Pytest | Python | RAG | Retrieval-Augmented Generation | Small Language Models | Terraform | Testing | Vector Databases | Vector Search | “as-code”
Education
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