Data Scientist – AI Systems
Tasks
- Build evaluation frameworks and metrics
- Collaborate on automated CI/CD pipelines
- Create guardrails and feedback loops
- Deploy production grade Python services
- Design and build AI agent systems
- Develop RAG pipelines
- Implement conversational AI interfaces
- Integrate backend and UI data flows
- Monitor accuracy reliability latency cost
- Orchestrate stateful multi step workflows
- Prototype and research new generative AI patterns
- Translate stakeholder needs into technical specifications
Perks/Benefits
Skills/Tech-stack
AWS AgentCore | AWS Bedrock | AWS Fargate | AWS Lambda | Amazon SageMaker | CI/CD | Generative AI | GitHub | Human-in-the-loop | LLM-as-judge | Langgraph | Machine Learning | Prompt engineering | Python | RAG | SQL | State management | The Loop | Tool use | Tool-use design | VS Code
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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