
Sr. MLE at Workday | M. Sc. in ML from Mila
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Mila - Quebec Artificial Intelligence Institute
Master of Science - MS, Machine Learning
August 1, 2019 – July 1, 2021
Punjab Technical University
Bachelor of Technology, Computer Science and Engineering
January 1, 2011 – January 1, 2015
Workday
Senior Machine Learning Engineer
November 1, 2023 – Present
Toronto, Ontario, Canada
Workday
Machine Learning Engineer
May 1, 2021 – October 1, 2023
Toronto, Ontario, Canada
Jumio Corporation
Research Engineer
May 1, 2020 – January 1, 2021
Montreal, Quebec, Canada
Landskape AI
Researcher
March 1, 2020 – February 1, 2022
Remote
Accenture
Senior Analyst
October 1, 2017 – July 1, 2019
Bengaluru, Karnataka, India
Wipro Limited
Project Engineer
June 1, 2015 – September 1, 2017
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate has experience across various companies, from large enterprises (Workday, Accenture, Wipro) to research-focused roles (Jumio, Landskape AI). This diversity suggests adaptability. However, without specific project details or team interaction data, a deep cultural fit analysis is limited. The target role is ML Engineer, which aligns well with the candidate's educational background and professional experience.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond the roles held. The psychometric test score is 0, indicating no data for logical reasoning, work attitude, stress handling, or team collaboration.