Vineet Chaoji
DirectorDirector, Machine Learning at Amazon
Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Director, Machine Learning at Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Specialties: Data mining and applied machine learning
Rensselaer Polytechnic Institute
PhD, Computer Science
January 1, 2004 – January 1, 2009
Rochester Institute of Technology
Masters, Computer Science
January 1, 2001 – January 1, 2004
Savitribai Phule Pune University
BE, Computer Engineering
January 1, 1995 – January 1, 1999
Bharati Vidyapeeth
Bachelors, Computer Engineering
January 1, 1995 – January 1, 1999
De Nobili School
ICSE
January 1, 1984 – January 1, 1993
Amazon
Director, Machine Learning
October 1, 2024 – Present
Amazon
Sr. Manager, Applied Science
October 1, 2019 – October 1, 2024
Amazon
Manager, Applied Science
April 1, 2016 – September 1, 2019
Amazon
Sr. Machine Learning Scientist
May 1, 2015 – April 1, 2016
Amazon
Machine Learning Scientist
August 1, 2012 – April 1, 2015
Yahoo! Labs
Scientist
September 1, 2009 – August 1, 2012
Bangalore
Nokia Research Center, Palo Alto
Research Intern
May 1, 2008 – January 1, 2009
Microsoft Corporation
Research Intern
May 1, 2007 – August 1, 2007
Rogue Wave Software
Software Development Intern
June 1, 2002 – January 1, 2003
Persistent Systems
Member of Technical Staff
July 1, 1999 – June 1, 2001
Cultural Fit Analysis
The candidate's long tenure and progression within Amazon, a known high-performance culture, suggests a strong fit for demanding, results-oriented environments. The diverse experience across research (Yahoo! Labs, Nokia, Microsoft) and product development (Persistent Systems) indicates adaptability and a broad understanding of different organizational contexts. The academic background (PhD) also points to a strong inclination towards continuous learning and innovation. The target role of 'Director' aligns well with the candidate's experience level and career trajectory.
Soft Skills & Operational Fit
The candidate's career progression at Amazon from Scientist to Director suggests strong leadership, problem-solving, and strategic thinking abilities. The early career descriptions indicate experience in team collaboration and driving initial product development. However, without specific project details or behavioral assessment data, a detailed analysis of soft skills and operational fit is limited.