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Data Scientist NLP (AI) Engineer

Role overview

Qualifications

  • Strong background in natural language processing
  • Experience with Large Language Models (LLMs)
  • Hands-on experience developing LLM-powered applications
  • Experience with Google Cloud Platform (GCP)

Responsibilities

  • Collaborate with product, engineering, analytics, and business teams
  • Translate complex business needs into AI solutions
  • Develop model evaluation frameworks
  • Implement responsible AI controls

About the company

Ford Motor Company logo

Ford Motor Company

We don't just make history -- we make the future. Ford put the world on wheels over a century ago, and our teams are re-inventing icons and creating groundbreaking connected and electric vehicles for the next century. We believe in serving our customers, our communities, and the world. If you do, too, come move the world and make the future with us. Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day. Privacy Policy: https://www.ford.com/help/privacy/

Company details

Company typeXLarge
Company size10001

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Job description


We are seeking a Data Scientist with a strong background in natural language processing and a focus on Large Language Models (LLMs) and generative AI. In this role, you will collaborate with product, engineering, analytics, and business teams to translate complex business needs into intelligent, reliable, scalable, and production-ready AI solutions. The ideal candidate will combine strong applied data science and machine learning expertise with hands-on experience developing LLM-powered applications, model evaluation frameworks, responsible AI controls, and cloud-based AI solutions using Google Cloud Platform (GCP). Experience with agentic AIβ€”including tool-enabled agents, workflow orchestration, and multi-agent systemsβ€”is a plus.
 

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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