Help & Supportcareers@gravityer.com
Senior AI/ML Engineering Manager | LLMs · Computer Vision · Production at Scale | Walmart Global Tech
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Technion - Israel Institute of Technology
Master of Science (M.Sc.), Machine learning, Signal processing
N/A – Present
Udacity
Self Driving Car Engineer - Nanodegree, Computer Software Engineering
N/A – Present
Technion - Israel Institute of Technology
Bachelor of Science (B.Sc.), Electrical and Electronics Engineering
N/A – Present
Walmart Global Tech
Senior Engineering Manager of AI/ML
March 1, 2025 – Present
Greater New York City Area
JPMorgan Chase & Co.
Executive Director - Applied AI/ML
February 1, 2023 – March 1, 2025
JPMorgan Chase & Co.
Team Leader - Applied AI/ML
November 1, 2020 – January 1, 2023
JPMorgan Chase & Co.
Lead Data Scientist - Applied AI/ML
September 1, 2018 – November 1, 2020
RSIP Vision
Computer Vision & Deep Learning Algorithm Developer
June 1, 2017 – September 1, 2018
Palo Alto, California
Omniscience Corporation
Machine Learning Engineer
June 1, 2016 – June 1, 2017
Palo Alto, California
Single-band infrared texture-based image colorization
August 1, 2012 – Present
Developed a novel method development for colorizing infrared images (Signal & Image processing lab) - see paper published in IEEE.
Nonlinear phenomena in opto-mechanical resonator
August 1, 2010 – Present
Investigated the effects of coupling between an optical and mechanical systems on the dynamics of opto-mechanical resonator
Cultural Fit Analysis
The candidate has a strong background in AI/ML, computer vision, and signal processing, with significant experience in leadership roles at large financial and retail technology companies. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards advanced AI/ML engineering and management. This represents a significant mismatch with the target role, which typically focuses on data extraction, transformation, visualization, and statistical analysis rather than AI/ML model development and deployment. The projects are highly technical and research-oriented, further indicating a deep technical background rather than a pure data analysis focus.
Soft Skills & Operational Fit
The candidate's experience in leading teams and delivering high-impact projects suggests strong leadership, problem-solving, and operational execution skills. The descriptions imply an ability to manage complex technical challenges and drive projects to completion within large organizational structures.