Data Scientist
Core
Build RAG pipelines, Python libraries for GenAI on AWS, and tools for fine-tuned models, vector databases, and neural network training simulations.
Role type
Applied AI Data Scientist (Generative AI infrastructure)
Builds
Production GenAI tools, open-source internal libraries, and neural network training utilities
Domain
Generative AI, Cloud Infrastructure, Machine Learning
Required skills
Python, data structures, algorithms, engineering mathematics
Preferred skills
PyTorch, deep neural network training, open-source contribution, engineering best practices
Technologies
Python, AWS, PyTorch, vector databases, embeddings
Responsibilities
Build RAG pipelines on internal documents; Create Python libraries for GenAI on AWS; Implement neural network architectures from new papers; Develop simulations for training agents; Design automated methods to prevent neural network training issues; Create visualizations for network analysis
Seniority
Individual Contributor