Principal Engineer, Data Science
Core
Designing and deploying predictive modeling and optimization solutions using Generative AI and NLP techniques for client business use cases.
Role type
Principal Data Scientist (Generative AI & Optimization)
Builds
Production ML models, NLP solutions, and Generative AI applications (RAG, LangChain, Llama Index)
Domain
Data Science, Generative AI, Mathematical Optimization, Cloud Architecture
Deliverable
production ML models
Required skills
Predictive modeling, Statistical Analysis, Time series Analysis, Regression Analysis, Mathematical optimization (LP, IP, genetic algorithms, RL), NLP techniques, Generative AI fundamentals, RAG, Prompt engineering, MLOps, Python, Pandas, NumPy, Scikit-learn, Cloud Architecture (AWS, Azure, GCP)
Preferred skills
Experience with R, CI/CD pipelines, Model lifecycle management
Technologies
GCP, AWS, Azure, Python, R, Pandas, NumPy, Scikit-learn, LangChain, Llama Index
Responsibilities
Convert client business use cases into technical designs, Define guidelines and benchmarks for non-functional requirements, Review architecture and design for extensibility and scalability, Develop and design overall solutions for functional and non-functional requirements, Resolve technical issues through root cause analysis, Carry out POCs to validate design and technology choices
Seniority
Principal, hands-on IC with strategy & mentorship
