3 дня назад
Staff Data Scientist (AI/ML, Generative AI & Agentic Systems)
116 800 - 198 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Scientist (AI/ML, Generative AI & Agentic Systems) (AI/ML and supply chain analytics): Building production-grade forecasting, planning, and autonomous decision-orchestration systems for global supply chain operations with an accent on LLMs, multi-agent frameworks, and cloud-based ML engineering. Focus on designing agentic workflows, integrating enterprise systems, and scaling prototypes into reliable AI/ML platforms.
Location: Onsite at the Milpitas office, California, United States
Salary: $116,800–$198,500 per year
Company
develops flash memory and advanced storage technologies supported by large-scale manufacturing and global supply chain operations.
What you will do
- Design, build, and deploy AI/ML models for demand planning, product planning, capacity planning, inventory optimization, and production scheduling.
- Develop multi-agent and generative AI systems using LLMs and frameworks such as LangChain, AutoGen, and CrewAI.
- Build intelligent assistants and autonomous workflows that integrate SAP, Blue Yonder, MES, Dynamics, and other enterprise systems.
- Develop scalable ML pipelines and production deployments using Python, SQL, Spark, AWS, Docker, and Kubernetes.
- Apply MLOps practices including CI/CD, model versioning, monitoring, and drift detection.
- Collaborate with planning, procurement, manufacturing, IT, and engineering stakeholders to scale prototypes into enterprise-grade systems.
Requirements
- Master’s or PhD in Computer Science, Data Science, Statistics, or a related quantitative field focused on AI/ML.
- 5–7 years of experience developing and deploying AI/ML models, preferably in supply chain or manufacturing.
- Demonstrated experience designing and deploying LLM-based or agent-based systems for automation or optimization.
- Expertise in Python, SQL, Spark, and ML frameworks including TensorFlow, PyTorch, and Scikit-learn.
- Experience with LangChain, agentic AI frameworks, Docker, Kubernetes, MLflow, Airflow, GitHub, AWS, Grafana, and CloudWatch.
- Strong knowledge of supply chain systems and planning processes, including SAP, MES, MEIO, IBP, and factory build planning.
Culture & Benefits
- Work on agentic and generative AI-driven supply chain transformation at enterprise scale.
- Collaborate with global teams on large-scale operational improvement.
- Paid vacation and sick leave.
- Medical, dental, vision, life, accident, and disability insurance.
- 401(k), health savings and flexible spending accounts, tuition reimbursement, transit benefits, and employee stock purchase opportunities.
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