Senior Ai/ml Engineer

General Motors

Warren, MI, US
Hybrid (3 days a week on-site in warren, mi or austin, tx)
Develop and deploy predictive models
Design and build map data pipelines
Analyze large datasets for trends
General Motors is seeking a Senior AI/ML Engineer to lead the development and deployment of machine learning models for enhancing map content in their advanced driving assistance systems. The ideal candidate should have extensive experience in machine learning, statistical modeling, and cloud infrastructure, with a collaborative approach to problem-solving

Job Summary

  • Responsible for developing and deploying machine learning and statistical models and algorithms to support creating or enhancing map content for ADAS/hands-free driving technology.
  • Design, build, and deploy predictive models and machine-learning algorithms to extract features, identify patterns, and classify outcomes using state-of-the-art frameworks and methods where practical.
  • Provide technical guidance and subject matter expertise to team members and stakeholders.

Matching Summary

Match Score: 85

General Motors is seeking a Senior AI/ML Engineer to lead the development and deployment of machine learning models for enhancing map content in their advanced driving assistance systems. The ideal candidate should have extensive experience in machine learning, statistical modeling, and cloud infrastructure, with a collaborative approach to problem-solving.

Skills & Requirements

Must-have

  • Develop and deploy predictive models
  • Design and build map data pipelines
  • Analyze large datasets for trends
  • Present complex information with data visualization
  • Collaborate on E2E ML solutions

Nice-to-have

  • Geospatial analysis and mapping
  • Mobility and behavioral analysis
  • AI-assisted coding tools
  • Autonomous vehicle technologies

Key Requirements

  • Master’s Degree in quantitative field
  • 6+ years proficiency in Python, PySpark, Spark, PyTorch, TensorFlow
  • 4+ years engineering/technical experience
  • Demonstrable proficiency in statistical modeling and ML frameworks
  • Strong foundation in algorithms, data structures, design patterns
  • Experience with cloud infrastructure and HPC
  • Experience leading projects and teams

Work Rights

Not specified

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