Jose Junior
ML EngineerSoftware Engineer at Microsoft | Data
Microsoft
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer at Microsoft | Data
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Universidade Federal do Rio Grande do Norte
Bachelor of Engineering - BE, Computer Engineering
January 1, 2017 – January 1, 2021
Universidade Federal do Rio Grande do Norte
Bachelor's degree, Science and Technology
January 1, 2013 – January 1, 2016
Microsoft
Software Engineer
April 1, 2023 – Present
Brazil · Remote
Nubank
Senior Data Scientist | Machine Learning Engineer
January 1, 2022 – March 1, 2023
São Paulo, Brazil · Hybrid
iFood
Data Scientist | Machine Learning Engineer
February 1, 2021 – January 1, 2022
Brazil · Remote
Data Science Brigade
Data Scientist
January 1, 2020 – January 1, 2021
Brazil · Remote
Anchor Loans LP
Data Scientist
September 1, 2017 – December 1, 2019
Brazil · Remote
Superintendência de Informática - UFRN
Software Developer Intern
February 1, 2017 – September 1, 2017
Natal Area, Brazil · On-site
Universidade Federal do Rio Grande do Norte
Undergraduate Research Assistant
August 1, 2016 – July 1, 2017
Natal Area, Brazil · Hybrid
Universidade Federal do Rio Grande do Norte
Undergraduate Research Assistant
September 1, 2014 – February 1, 2016
Natal Area, Brazil · Hybrid
Analyze Datasets and Train ML Models using AutoML
DeepLearning.AI
June 24, 2026 – Present
Introduction to Machine Learning in Production
DeepLearning.AI
June 24, 2026 – Present
Microsoft Certified: Power BI Data Analyst Associate
Microsoft
June 24, 2026 – Present
Machine Learning Engineer Nanodegree
Udacity
June 24, 2026 – Present
Rasa Developer Certification
Rasa
June 24, 2026 – Present
Microsoft Certified: Azure AI Fundamentals
Microsoft
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse environments, from large tech companies (Microsoft, Nubank, iFood) to consultancies and academic research. This breadth of experience suggests adaptability and exposure to different organizational cultures. The focus on Machine Learning and Data Science throughout their career aligns well with an ML Engineer role, indicating a strong passion and commitment to the field. The variety of projects, including building customer personas, digital audits, similarity search engines, and web crawlers, demonstrates a versatile problem-solving approach.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight involvement in cross-functional teams (e.g., AI, Analytics and Infrastructure Team at Nubank, Search AI Team at iFood) and a focus on solving business problems with ML. This suggests a good operational fit for roles requiring collaboration and impact-driven development. The detailed descriptions of past roles indicate strong communication skills in conveying project scope and achievements.