Design and deploy advanced machine learning solutions that drive innovation across vehicle lifecycle management, diagnostics, and predictive maintenance.
Develop and deploy production-grade ML models and AI systems for diagnostics, predictive maintenance, and anomaly detection.
Build and optimize LLM-based applications, including Retrieval-Augmented Generation (RAG) systems.
Implement predictive models for failure detection and early warnings.
Create scalable data pipelines and real-time inference systems.
Collaborate with cross-functional teams and mentor junior engineers.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field.
5+ years of experience deploying ML models in production environments.
Expertise in Python and ML frameworks (PyTorch, TensorFlow).
Strong SQL and distributed data processing skills (Spark, Hive).
Real world experience with ML platforms (Databricks, MLflow, Azure ML).
Familiarity with cloud platforms and containerization (Docker, Kubernetes).

Benefits

GM offers a variety of health and wellbeing benefit programs.
Benefit options include 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 and more.

Applicant Tracking System Keywords

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

Hard Skills & Tools

machine learningproduction-grade ML modelsAI systemspredictive maintenanceanomaly detectionLLM-based applicationsRetrieval-Augmented Generationdata pipelinesreal-time inference systemsSQL

Soft Skills

collaborationmentoring