Definition and adoption of GM MFG AI capabilities.
Identify opportunities to update and/or streamline the current AI and GM Robotics Engineering processes together with Manufacturing Engineering SMEs.
Define and develop ML solutions in real-world environments.
Computer Vision solutions in real-world environments.
Ability to digest, design and deploy solutions based on research artifacts.
Simulation Data Visualization
Designing solutions at scale (minimize operational overhead).
End to end understanding of systems and interfaces, so solutions can be built to fit within constraints.

Requirements

Master’s degree in Computer Engineering or Data Science
In-depth Knowledge and experience with software development
In-depth experience designing, training, testing and deploying deep learning models for vision applications
In-depth experience with PyTorch, TensorFlow, and/or Keras
10+ years of software engineering experience
10+ years of AI, ML, and/or data science experience
In-depth Experience with Ops, MLOps and/or LLMOps

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdeep learningcomputer visionsoftware developmentdata visualizationMLOpsLLMOpsPyTorchTensorFlowKeras

Soft Skills

problem-solvingcollaborationcommunicationdesign thinkinganalytical thinking

Certifications

Master’s degree in Computer EngineeringMaster’s degree in Data Science