Principal Consultant, Palantir Data & AI Engineer
Tasks
- Build data pipelines
- Create reusable implementation assets
- Design data and AI solutions
- Develop and prototype LLM solutions
- Develop data integration workflows
- Develop operational workflows
- Implement CI/CD
- Implement logging and monitoring
- Integrate APIs and microservices
- Integrate Palantir with enterprise systems
- Lead client workstreams
- Mentor team members
- Model data for analytics
- Perform performance optimization
- Write production-quality code
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Apache Airflow | Apache Spark | Azure | CI/CD | DBT | Data Modeling | Data Quality | Data integration | ELT | ETL | Experimentation | Google Cloud | Human-in-the-loop | LLMOps | Logging | MLOps | Microservices | Model Evaluation | Model Monitoring | Palantir AIP | Palantir Foundry | Performance optimization | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Streaming | The Loop | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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