10+ years professional software engineering or machine learning engineering experience
10+ years specialized experience developing AI/ML solutions for manufacturing automation, including controls systems integration, robotics applications, and machine vision
Deep expertise in LoRA fine-tuning, including parameter-efficient training, dynamic adapter loading, and domain-specific model customization
Strong programming skills in Python with proficiency in PyTorch (preferred) or TensorFlow for model development and training and proficiency in C# or C++ for production system development.
Production experience with full-stack development: React/TypeScript with custom hooks, component composition patterns, and type-level programming
Expertise in backend development using FastAPI with async/await patterns, custom middleware, dependency injection, and optimized request routing
Advanced database engineering skills with PostgreSQL including custom extensions, pgvector optimization, query performance tuning, and distributed database architectures
Hands-on experience with Kubernetes deployments, service mesh implementation, Docker multi-stage builds, and automated scaling strategies
Demonstrated ability to deploy enterprise-grade ML models with high reliability, low latency, and production monitoring
Proven experience executing end-to-end automation projects including: controls system programming (PLC, HMI), machine vision system deployment (camera calibration, illumination setup, vision inspection programming), and robotics integration (programming, calibration)
Knowledge of GM's controls standards (Global Common Controls Hardware Design Standards and Global Common Controls Software Design Integration Standards

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