Salary
💰 $185,600 - $285,000 per year
Tech Stack
KerasPyTorchTensorflow
About the role
- 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
- medical, dental, vision
- Health Savings Account
- Flexible Spending Accounts
- retirement savings plan
- sickness and accident benefits
- life insurance
- paid vacation & holidays
- tuition assistance programs
- employee assistance program
- GM vehicle discounts
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningcomputer visionsoftware developmentdata visualizationPyTorchTensorFlowKerasMLOpsLLMOps
Soft skills
problem-solvingcollaborationcommunicationdesign thinkinganalytical skills
Certifications
Master’s degree in Computer EngineeringMaster’s degree in Data Science