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Machine Learning Engineer (No AI/LLMs)

Dexian DISYSUnited States🇺🇸United StatesPosted Oct 2, 2026

Why This Role Stands Out

This fully remote Machine Learning Engineer role offers a fantastic opportunity to build scalable data pipelines and optimize traditional statistical models, perfect for experienced Python and PySpark developers seeking impactful work. You'll join a globally recognized leader in talent and technology solutions, gaining valuable experience and contributing to innovative projects. Apply today to leverage your expertise in a dynamic and supportive environment.

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
SQLMachine LearningScikit-learnPython

Job Description


Machine Learning Engineer (No AI/LLMs)
100% Remote
12 + Months


Role:
Design, train, and optimize traditional statistical ML models and build scalable PySpark data pipelines.


Must Have:
Expert Python, PySpark, Scikit-learn, SQL, and core math/statistics. No GenAI/LLMs.
**Interview Process - Very Tough**
1. **Round 1 - 60 mins:** Technical + coding (Video ON, full screen share)
2. **Round 2 - 120 mins:** Technical deep dive + coding
3. **Round 3 - 60 mins:** Offshore panel


Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.
Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit .
Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.


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