AI/ML Data Scientist

General Motors (GM)

Confirmed live yesterday High trust
Closes in 3 days Hybrid

Quick summary

Work type
Hybrid
Location
Posted
9 days ago
Freshness
Confirmed live yesterday
Closes
Sep 14, 2026 (soon)

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Salary context

How this pay compares to similar roles

Similar $158k
$89k most similar roles pay here $226k

This listing doesn't post a salary. Most similar roles pay $126,800–$188,315.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 116 open roles on FindRole.

Listed pay typically runs $160,200–$245,000 across 59 roles with salary data.

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At a glance

TL;DR · AI/ML Data Scientist

AI/ML Data Scientist (GPSSC) The AI/ML Data Scientist joins the Product Safety Data Analytics team to manage the full end-to-end data science lifecycle for artificial intelligence and machine learning. This role involves collaborating with business partners to identify opportunities, training new models to solve complex problems, and developing proof of concepts for generative AI and Agentic AI solutions. The candidate will build statistical models to depict company-wide trends, perform data validation, and provide guidance using statistical methods. Key technologies include Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, and SQL. Expertise is required in LLMs, RAG, NLP, and deep learning, alongside tools like Databricks, Hadoop, MLflow, Docker, Kubernetes, and Tableau. The role focuses on creating intelligent solutions to enhance internal processes and improve team efficiency within the product safety domain.

What you'll do

  • Identify opportunities for new AI/ML solutions to enhance business processes and team efficiency.
  • Train machine learning models to solve complex business problems.
  • Prototype and develop new Generative AI and Agentic AI solutions to streamline operations.
  • Enhance existing model solutions as technology and business requirements evolve.
  • Use statistical methods to provide guidance on business problems and create ad-hoc reports for stakeholders.
  • Build statistical models to identify and depict company-wide trends.
  • Perform testing and validation of data sets to ensure accuracy.
  • Communicate findings and results to leadership, customers, and stakeholders through effective storytelling.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • 5+ years of experience in machine learning, engineering, data science, or a related field.
  • Proficiency in programming and frameworks including Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, and SQL.
  • Experience with AI/ML concepts such as LLMs, Generative AI, RAG, Deep Learning, NLP, and various ensemble methods.
  • Expertise in data engineering tools like Databricks, Hadoop, and building data pipelines.
  • Experience with MLOps tools including MLflow, Docker, Kubernetes, and version control systems like GitHub.
  • Proficiency in data analysis and visualization using Tableau, PowerBI, Pandas, and NumPy.
  • Proven track record of delivering AI/ML solutions to customers that drive measurable value.

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