Staff Data Scientist (Generative AI)

TL;DR

Staff Data Scientist (Generative AI): Designing and deploying advanced AI/ML models and multi-agent systems for supply chain planning with an accent on agentic workflows and decision orchestration. Focus on building scalable AI pipelines, implementing MLOps best practices, and containerizing multi-agent applications for enterprise-level automation.

Location: Must be based in Milpitas, CA, United States

Salary: $141,000–$210,000

What you will do

• Design and deploy AI/ML models specifically for supply chain planning.
• Develop multi-agent and generative AI systems to enable decision orchestration.
• Implement autonomous agentic workflows across complex enterprise systems.
• Build and maintain robust AI/ML pipelines using MLOps best practices.
• Containerize and deploy multi-agent applications in production environments.
• Communicate technical insights and solutions to cross-functional stakeholders.

Requirements

• Must be based in or able to work from Milpitas, CA.
• Extensive experience in designing and deploying AI/ML models.
• Proficiency in Python and SQL for data manipulation and model development.
• Strong understanding of MLOps, including model versioning, monitoring, and drift detection.
• Experience with containerization tools like Docker and Kubernetes.
• Familiarity with cloud infrastructure, specifically AWS.

Nice to have

• Experience with agentic AI frameworks like Langchain, Autogen, or CrewAI.
• Knowledge of LLM integration and fine-tuning.
• Experience with MLflow or SageMaker for model lifecycle management.