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Machine Learning Engineer

MeganSoftLivonia, MI🇺🇸United States

Why this role stands out

This role at MeganSoft offers a unique opportunity to lead end-to-end MLOps and deploy real-time models on edge devices, providing significant professional growth in a high-impact manufacturing environment. You will thrive here if you are a hands-on engineer passionate about solving complex predictive modeling challenges, and the hybrid work structure ensures excellent flexibility as you advance your career. Apply today to join a forward-thinking team and push the boundaries of machine learning innovation.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationLivonia, MI, United States
MLOpsNumPyScikit-learnPandasPythonMachine LearningXGBoost

Job description

Machine Learning Engineer at Michigan (Hybrid) for 12+Months

Need Only LOCAL to Michigan

Job Description:
Predictive Performance Modeling
Design, train, and deploy real-time ML models on edge devices across Dip-Spin and Spray coating lines to detect micro-defects (blistering, bare spots, pinholes, uneven thickness).
develop predictive regression and molecular structure models that forecast salt-spray corrosion resistance, torque-tension, and thermal tolerance based on chemical composition
Own end-to-end MLOps pipelines (model training, tracking, containerization, edge deployment, and drift monitoring).
Core ML & Data Science: Proficiency in Python, Pandas, NumPy, Scikit-Learn, XGBoost, and time-series modeling.

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