3 дня назад
Staff Data Scientist (AI/ML)
116 800 - 198 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Scientist (AI/ML): Building production-grade AI/ML, generative AI, and agentic systems for supply chain forecasting, planning, optimization, and operational decision-making with an accent on LLMs, multi-agent frameworks, cloud ML engineering, and MLOps. Focus on designing autonomous workflows, integrating enterprise systems such as SAP and MES, and scaling prototypes into enterprise-grade solutions.
Location: Milpitas, California, United States — onsite at the Milpitas office
Salary: $116,800–$198,500 per year
Company
develops flash memory and advanced memory technologies, combining manufacturing capabilities with data storage products 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 generative AI and multi-agent systems using LLMs, 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 with Python, 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 solutions.
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.
- Strong Python, SQL, Spark, and ML framework skills, including TensorFlow, PyTorch, or Scikit-learn.
- Experience with Docker, Kubernetes, MLflow, Airflow, GitHub, AWS, Grafana, and CloudWatch.
- Knowledge of supply chain systems and planning processes such as SAP, MES, MEIO, IBP, and factory build planning.
Nice to have
- Experience with Neural Prophet and additional agentic AI frameworks such as BabyAGI.
Culture & Benefits
- Work on agentic and generative AI-driven supply chain transformation at enterprise scale.
- Collaborate with global teams across operational, manufacturing, and technology functions.
- Paid vacation and sick leave, medical, dental, and vision insurance.
- Life, accident, disability, flexible spending, and health savings benefits.
- Tuition reimbursement, transit benefits, employee stock purchase options, and a 401(k) savings plan.
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