Staff Automation Ai Engineer - Manufacturing Engineering
General Motors Australia & New Zealand
Warren, United States
Hybrid (expected to report to a specific location at least 3 times a week)
Domain-specific lora fine-tuning
Multi-modal ai models
Enterprise-grade infrastructure
General Motors is seeking a Staff Automation AI Engineer to develop advanced AI/ML solutions for manufacturing operations. This on-site role involves designing and implementing intelligent systems to enhance production efficiency, quality, and innovation across their global facilities
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 and full-stack AI applications using modern technologies like React/TypeScript, FastAPI, and PostgreSQL with pgvector.
Collaborate with cross-functional teams to digitize manufacturing and deliver measurable improvements in production efficiency, quality, and innovation.
Matching Summary
Match Score: 85
General Motors is seeking a Staff Automation AI Engineer to develop advanced AI/ML solutions for manufacturing operations. This on-site role involves designing and implementing intelligent systems to enhance production efficiency, quality, and innovation across their global facilities.
Skills & Requirements
Must-have
Domain-Specific LoRA fine-tuning
multi-modal AI models
enterprise-grade infrastructure
manufacturing systems and production AI
full-stack AI applications
PostgreSQL with pgvector optimization
Kubernetes deployments
CUDA kernels optimization
Nice-to-have
human-centered design process
cutting-edge AI technology
scalable automation platforms
standards, governance, and best practices
Key Requirements
10+ years professional software engineering or machine learning engineering experience
10+ years specialized experience developing AI/ML solutions for manufacturing automation
Deep expertise in LoRA fine-tuning
Strong programming skills in Python with PyTorch (preferred) or TensorFlow
Proficiency in C# or C++ for production system development
Production experience with full-stack development
Expertise in backend development using FastAPI
Advanced database engineering skills with PostgreSQL
Hands-on experience with Kubernetes deployments
Demonstrated ability to deploy enterprise-grade ML models