Staff Automation Ai Engineer - Manufacturing Engineering

General Motors

Warren, United States
**
Domain-specific lora fine-tuning
Multi-modal ai systems
Production-grade ml infrastructure
** General Motors is seeking a Staff Automation AI Engineer to enhance its manufacturing processes through advanced AI and machine learning technologies. The role requires extensive experience in AI solutions, particularly within manufacturing, and involves designing and deploying intelligent systems to improve production efficiency and quality. **

Job Summary

  • Design and implement advanced AI/ML systems tailored for manufacturing operations, leveraging Domain-Specific LoRA fine-tuning and multi-modal AI models.
  • Build production-grade ML infrastructure, architect full-stack AI applications, and implement high-performance database solutions for real-time manufacturing intelligence.
  • Collaborate with cross-functional teams to digitize manufacturing and deliver measurable improvements in production efficiency, quality, and innovation.

Matching Summary

Match Score: 75

** General Motors is seeking a Staff Automation AI Engineer to enhance its manufacturing processes through advanced AI and machine learning technologies. The role requires extensive experience in AI solutions, particularly within manufacturing, and involves designing and deploying intelligent systems to improve production efficiency and quality. **

Skills & Requirements

Must-have

  • Domain-Specific LoRA fine-tuning
  • Multi-modal AI systems
  • Production-grade ML infrastructure
  • Full-stack AI applications
  • PostgreSQL with pgvector optimization
  • Kubernetes deployments
  • CUDA kernel optimization
  • Machine vision systems
  • Supervised learning models for robotics

Nice-to-have

  • Foundation model adaptation
  • Multi-modal transformer architectures
  • Custom training loops
  • Advanced computer vision architectures
  • Self-supervised learning techniques
  • Model compression techniques
  • MLOps best practices at scale
  • AI-driven automation solutions
  • LLMs for equipment control

Key Requirements

  • 10+ years software/ML engineering experience
  • 10+ years manufacturing automation experience
  • Expertise in LoRA fine-tuning
  • Python proficiency (PyTorch preferred)
  • C# or C++ proficiency
  • Full-stack development experience
  • FastAPI expertise
  • Advanced PostgreSQL skills
  • Kubernetes deployment experience
  • Enterprise-grade ML model deployment
  • End-to-end automation project execution

Work Rights

Not specified

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