Lead Data Scientist- AML
Core
Design, develop, deploy, and maintain data science models and tools, specifically focusing on leading-edge generative AI technologies and Multimodal LLMs to solve complex retail problems.
Role type
Lead Data Scientist (Generative AI)
Builds
GenAI-based solutions and platforms for product and engineering teams
Domain
Retail, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Python, SQL, Hadoop/Hive, PyTorch, TensorFlow, Deep Learning, Multimodal LLMs, LLM fine-tuning, software architecture, codebase management
Preferred skills
Docker, Kubernetes, Prompt Engineering, Embedding Generation, RAG, Vector DB, Elastic Search, Computer Vision
Technologies
Python, SQL, Hadoop, Hive, PyTorch, TensorFlow, Docker, Kubernetes, Vector DB, Elastic Search
Responsibilities
Analyze large datasets for business insights; Contribute to research, design, and implementation of generative AI technologies; Work with Multimodal LLMs to enhance model performance and fine-tune LLMs; Build and maintain complex software systems and tools; Adopt modular architecture and software engineering practices; Coordinate analysis, troubleshooting, and resolution of issues in models and software
Seniority
Senior, hands-on IC with leadership responsibilities