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Machine Learning, NLP, Search, Recommendation, LLM
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experience in Natural Language Processing (NLP), Machine Learning (ML), Information Retrieval, Personalized Recommendation
The University of Sheffield
Master of Science (MSc), Computer Science with speech and language processing
N/A – Present
Beijing Institute of Technology
Bachelor's degree, Software Engineering
N/A – Present
Wish
Senior Machine Learning Engineer
November 1, 2022 – November 1, 2024
Workday
Machine Learning Engineer
August 1, 2021 – November 1, 2022
Toronto, Ontario, Canada
Paytm Labs
Machine Learning Engineer III
September 1, 2017 – August 1, 2021
Toronto, Canada Area
Alibaba.com
Senior Algorithm Engineer
January 1, 2016 – January 1, 2017
Beijing, China
Lenovo
Advisory Researcher
January 1, 2013 – January 1, 2016
Beijing City, China
Cultural Fit Analysis
The candidate's experience is heavily concentrated in Machine Learning and AI roles, specifically NLP, search, and recommendation systems. While these skills are valuable, the target role is 'Backend Engineer'. This indicates a potential mismatch in core responsibilities and day-to-day tasks, as backend engineering typically involves broader system design, API development, database management, and general software engineering principles beyond ML model deployment. The lack of explicit backend engineering projects or roles suggests a need for significant upskilling or a different role alignment for optimal cultural and operational fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's resume primarily highlights technical roles and responsibilities.