Nadine Sarraf
ML EngineerSenior Machine Learning Engineer
RoleMapper
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Senior Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Machine Learning Engineer with 10 years of experience building, deploying, and scaling ML systems from research to production. Strong focus on LLMs, GenAI, RAG systems, NLP, and search/recommendation platforms. Proven ability to lead ML initiatives end-to-end, influence AI strategy at leadership level, and deliver measurable business impact in high-scale, user-facing products.
Université Antonine
Master's degree, Software and Networking Engineering
January 1, 2011 – January 1, 2016
Sagesse Brasilia Saint Jean- Baabda
Science Generale
January 1, 1996 – January 1, 2011
RoleMapper
Senior Machine Learning Engineer
July 1, 2023 – Present
Remote
Cookpad
Senior Applied Machine Learning Engineer
January 1, 2019 – March 1, 2023
Bristol, United Kingdom · Hybrid
Cookpad MENA
Machine Learning Applied Research Scientist
November 1, 2016 – January 1, 2019
Beirut, Lebanon
Murex
Internship
March 1, 2016 – September 1, 2016
Beirut Governorate, Lebanon
Network Consulting and Outsourcing
Internship
July 1, 2015 – August 1, 2015
Allied Computer Services S.A.L
Internship
July 1, 2014 – August 1, 2014
Accurate English to Arabic Translator
January 1, 2015 – November 1, 2016
The project is developed as my senior project for my Master’s in Software and Network Engineering at Antonine University. A work in progress in delivering a web-based translation service to individuals and corporations. Altranslator delivers accurate,reliable, human based English to Arabic translation. Programming/modeling techniques: Java, Spring MVC, MySQL, OAuth2, jQuery, REST, JSON
Machine Learning: Regression
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning Foundations: A Case Study Approach
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning Specialization
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning: Classification
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse company environments (RoleMapper, Cookpad) and has experience leading teams and initiatives, which suggests adaptability and a collaborative mindset. The project experience, while limited to one personal project, shows initiative. The certifications in Machine Learning further demonstrate a commitment to continuous learning. The transition from Applied Research Scientist to Senior ML Engineer roles indicates a growth-oriented career path.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership, mentorship, and cross-functional collaboration, indicating strong soft skills relevant for a senior role. Their ability to establish MLOps and code quality standards suggests a focus on operational excellence and best practices.