Lead AI Scientist - Remote, LLMs & Personalization

Ai Facile

Montpelier (VT)

Presencial

USD 150.000 - 190.000

Jornada completa

14 días+

Una candidatura completa en un minuto

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Descripción de la vacante

Pearson is seeking a Lead Specialist- AI Scientist to design, build, deploy, and scale production AI/ML capabilities powering learner intelligence, personalization, and knowledge graphs across Pearson products. You will lead cross-functional teams, define scalable architectures, and implement end-to-end AI delivery with robust MLOps practices.

The role bridges AI research, data science, software engineering, and product delivery, requiring hands-on expertise in Generative AI, LLMs, RAG, and

Formación

  • 5+ years of experience building and deploying production AI/ML systems.
  • Experience with Generative AI, LLMs, RAG architectures, and agentic AI solutions.
  • Proficiency in Python and modern software engineering practices (APIs, testing, CI/CD).
  • Experience designing scalable AI platforms and deployment architectures in AWS or similar cloud environments.
  • Experience with containerization, orchestration, IaC, and production-grade deployment practices.

Responsabilidades

  • Lead the design, development, deployment, and operation of production AI capabilities across learner intelligence, personalization, recommendations, and knowledge graphs.
  • Design and deliver Generative AI, LLM, RAG, and agentic AI solutions with measurable impact.
  • Build reusable AI platform components, services, APIs, and workflows for Pearson products.
  • Own the end-to-end AI delivery lifecycle from experimentation to production deployment and monitoring.
  • Establish scalable MLOps and AIOps practices for training, deployment, observability, governance, and reliability.
  • Collaborate with Product, Engineering, Design, Learning Science, and Data Science teams to identify opportunities.
  • Evaluate emerging AI technologies and balance quality, safety, scalability, latency, and cost.
  • Establish best practices for responsible AI, model evaluation, prompt engineering, and governance.
  • Mentor engineers and data scientists to elevate AI engineering capabilities.
  • Communicate strategy, architecture decisions, and trade-offs to stakeholders.

Conocimientos

AI/ML production
Python
Cloud AWS
MLOps
API development
CI/CD
Knowledge graphs
LLMs
RAG
LangChain

Educación

Bachelor's degree in CS or equivalent

Herramientas

Docker
Kubernetes
LangGraph
Semantic Kernel
vector databases

Descripción del empleo

Pearson is seeking a Lead Specialist- AI Scientist to design, build, deploy, and scale production AI/ML capabilities powering learner intelligence, personalization, and knowledge graphs across Pearson products. You will lead cross-functional teams, define scalable architectures, and implement end-to-end AI delivery with robust MLOps practices.

The role bridges AI research, data science, software engineering, and product delivery, requiring hands-on expertise in Generative AI, LLMs, RAG, and

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