AI Engineer
Tasks
- Apply agile development practices
- Build scoring algorithms
- Conduct scalability and accuracy testing
- Create user configurable matching logic
- Design and develop data pipelines
- Design data handoff mechanisms
- Develop RESTful API infrastructure
- Document data models and integration architecture
- Ensure compliance with security protocols
- Implement generative AI explainability features
- Integrate matching engine with existing platform
- Test algorithm performance and pipeline reliability
- Validate API behavior
Perks/Benefits
Skills/Tech-stack
AWS | Automated testing | Azure | CI/CD | Clustering | Data Ingestion | Data Modeling | Data Parsing | Data Transformation | DevSecOps | Docker | ETL | Flow Designer | Generative AI | Git | Google Cloud | Infrastructure as Code | IntegrationHub | Kubernetes | Machine Learning | Microservices | PostgreSQL | Prompt engineering | Python | REST API | Ranking Systems | Recommendation Systems | SQL | Scoring systems | Scripted REST | Scripted REST API | Security Protocols | Service Portal | ServiceNow | Similarity scoring | Structured Data Parsing | Structured data | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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