Machine Learning Engineer

Hybrid in Livonia, MI, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
Contract Independent
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • machine learning
  • ML
  • MLOps
  • Python
  • Pandas
  • NumPy
  • Scikit-Learn
  • XGBoost
  • datascience
  • Machine Learning Operations (ML Ops)
  • DIP

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10510406
  • Position Id: MST9538
  • Posted 3 hours ago
Contact the job poster
ST

Steve Taruni

Recruiting Manager @ MeganSoft

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