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Sr. AI Specialist - NLP and Cloud AI at Ford Motor Company
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Assessing your cultural and operational fit
Data munging, machine learning and other computing on large distributed environment. Problem formulations, practical and scalable solution design and development for engineering applications. Research and development for emerging technology to real-world applications.
Wayne State University
M.S., Mechanical Engineering
January 1, 1994 – January 1, 2006
Louisiana State University
Industrial Engineering
January 1, 1992 – January 1, 1993
Jilin University
B.S., Automotive Engineering
January 1, 1986 – January 1, 1992
Ford Motor Company
Sr. AI Specialist - AI Advancement Center
December 1, 2023 – Present
Ford Motor Company
Manager and Technical Specalist - AI Advancement Center
January 1, 2017 – December 1, 2023
Ford Motor Company
Sr Analytics Scientist - Global Data Insight & Analytics
June 1, 2015 – December 1, 2016
Ford Motor Company
Technical Expert - Information Technology
June 1, 1998 – June 1, 2015
General Motors
CAD application developer
August 1, 1997 – June 1, 1998
Alcoa
Sr. Design Engineer
November 1, 1996 – August 1, 1997
TRW
Product Development Engineer
June 1, 1993 – November 1, 1996
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a very long tenure at a single company (Ford Motor Company) with a strong focus on AI/ML within an automotive context. While this demonstrates loyalty and deep domain expertise, the lack of diverse industry or project experience outside of this specific environment might indicate a narrower cultural fit for roles requiring rapid adaptation to varied tech stacks or business domains. The target role 'Big Data Engineer' aligns with their technical skills, but the resume doesn't explicitly detail experience with specific Big Data technologies (e.g., Hadoop, Spark, Kafka) which are often critical for such roles, making the fit somewhat indirect.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership, consultation, advocacy, and problem-solving, indicating strong soft skills. Their long tenure at Ford suggests operational stability and ability to navigate complex organizational structures. The focus on 'thoughtful application' and 'partnering with industry leaders' points to a collaborative and strategic mindset.