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
Deliverable
production ML models | product features | infrastructure
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