Senior Engineer / Lead Engineer - Virtual Engineering - Ai Ml

gmoshawa.ca

Hybrid
End-to-end ml project execution
Python programming proficiency
Ml/dl frameworks (scikit-learn, tensorflow, pytorch, xgboost)
GM is seeking a Senior/Lead Engineer specializing in Machine Learning to enhance Manufacturing Engineering and Operations processes. The role involves end-to-end project execution using ML methodologies, collaborating with stakeholders, and ensuring compliance with data security standards

Job Summary

  • Leverage Machine Learning methodologies to improve Manufacturing Engineering and Operations processes.
  • Execute end-to-end projects from ideation to deployment, applying relevant Tools and Methods in ML and data analytics to solve Manufacturing problems.
  • Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements.

Matching Summary

Match Score: 85

GM is seeking a Senior/Lead Engineer specializing in Machine Learning to enhance Manufacturing Engineering and Operations processes. The role involves end-to-end project execution using ML methodologies, collaborating with stakeholders, and ensuring compliance with data security standards.

Skills & Requirements

Must-have

  • end-to-end ML project execution
  • Python programming proficiency
  • ML/DL frameworks (Scikit-learn, TensorFlow, PyTorch, XGBoost)
  • data preprocessing and EDA
  • ML model evaluation knowledge
  • SQL/NoSQL database experience
  • MLOps platforms experience

Nice-to-have

  • deep learning architectures knowledge
  • cloud-based platforms familiarity
  • distributed training experience
  • translating domain problems to AI solutions
  • clear communication to non-technical stakeholders

Key Requirements

  • Bachelor’s or Masters Degree in Engineering
  • 5+ years in Automotive Manufacturing / Manufacturing Engineering
  • 1+ year implementing AI/ML solutions in Automotive
  • Executed 2+ end-to-end text or Image ML projects
  • Understanding of data annotation tools and MLOps workflows

Work Rights

Not specified

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