Principal Data Scientist - Omaha, Ne.
Tasks
- Architect agentic generative AI systems
- Conduct prompt engineering and experimentation
- Deliver using agile methodologies
- Develop secure scalable AWS infrastructure
- Drive end to end AI ML lifecycle
- Evaluate and govern model performance
- Implement MLOps best practices
- Integrate AI systems with front end back end platforms
- Lead generative AI application design and deployment
- Maintain CI/CD pipelines
- Mentor junior data scientists and engineers
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | AWS CDK | AWS Lambda | Agentic AI | Amazon Bedrock | Amazon S3 | Amazon SageMaker | Automated testing | B testing | CI/CD | Data Engineering | Data Versioning | DevOps | Enterprise Architecture | Experimentation | Function Calling | Generative AI | Git | Infrastructure as Code | LLM Evaluation | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Model Governance | Prompt engineering | Python | SQL | Structured Output | Tool use | TypeScript | Vue | “as-code”
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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