Principal Engineer, Data Science
Tasks
- Collaborate with developers on solution requirements
- Conduct proof of concepts
- Define NFR benchmarks and guidelines
- Design overall solution for functional and non functional requirements
- Evaluate solution options
- Integrate technologies across projects
- Perform root-cause analysis for issues
- Review architecture for scalability security and extensibility
- Translate business use-cases into technical designs
- Write and review technical design documents
Perks/Benefits
- N/A
Skills/Tech-stack
ANOVA | AWS | Azure | CI/CD | Cause analysis | Cloud Architecture | Data Deployment | GCP | Generative AI | Genetic Algorithms | Integer Programming | Langchain | Linear Programming | Llamaindex | MLOps | Machine Learning | Model Monitoring | NLP | NumPy | Optimization | Pandas | Prompt engineering | Python | R | Regression Analysis | Reinforcement Learning | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | Scikit-learn | Series analysis | Statistical Analysis | Time Series | Time Series Analysis
Education
Roles
Data Scientist | Engineer | Principal | Principal Engineer | Scientist
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