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3 дня назад

Staff Data Scientist (AI/ML)

116 800 - 198 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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