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)

SmartExplore AI is experimental.

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Facilities Power Maintenance Manager

Zobility

Detroit, MI 48226

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Manufacturing Engineer

Loc Performance Products

Plymouth, MI 48170

~ 28 min Onsite

Bachelor's degree in Industrial Engineering, Mechanical Engineering, or other engineering field and five (5) years manufacturing experience and/or training; or equivalent combination of education and experience.
Ability to read and interpret blueprints, models, drawings and technical specifications.
Extensive working knowledge of manufacturing practices in a diverse range of processes.
Understanding of GD&T; applications.
Extensive knowledge of process flows, material flow, assistive tooling devices.
Proficient in Microsoft Office software.
Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.
Ability to apply problem solving tools and methodology to a variety of manufacturing and business process issues.
The employee may occasionally lift up to 50 pounds.

SmartExplore AI is experimental.

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