AI/ML Engineer

Insight Global; Warren (MI); On-site; USD 62,000 - 66,000; Full time

Benefits offered by this job

Benefits from day one

401(k) plan

Paid time off

Job summary

General Motors is seeking an experienced AI/ML Engineer focused on manufacturing to design, build, and deploy advanced AI/ML systems for production. You will work with plant engineers, robotics teams, and IT to digitize manufacturing, using domain-specific LoRA, multi-modal models, and enterprise-grade infrastructure.

This role emphasizes hands-on execution and scalable solutions that improve efficiency, quality, and innovation across global facilities.

Qualifications

• 3+ years of experience developing AI/ML applications.
• Experience building an AI application from scratch on a cloud platform.
• 3+ years of Python programming experience.

Responsibilities

• Design and implement domain-specific LoRA fine-tuning for manufacturing AI.
• Develop multi-modal AI systems combining vision, controls, robotics, and telemetry.
• Build production-grade ML infrastructure for training, fine-tuning, deployment, and monitoring.
• Architect full-stack AI apps using React/TypeScript frontend and FastAPI backend.
• Deploy and orchestrate AI services with Kubernetes and service mesh for scalable operations.
• Establish MLOps practices including CI/CD, model versioning, A/B testing, and monitoring.

Skills

AI/ML

Python

Cloud platform

Tools

React

TypeScript

FastAPI

PostgreSQL

Kubernetes

Job description

Duration: Ongoing contract (most likely to extend through 2027)

Required Skills & Experience

• 3+ years of experience developing AI/ML applications
• Experience developing an AI application from scratch on a cloud based platform
• 3+ years of experience programming in python

Nice to Have Skills & Experience

Programming an AI application for manufacturing

Job Description

We are seeking an experienced AI/ML Engineer with deep expertise in manufacturing systems and production AI to drive the next generation of intelligent manufacturing solutions. In this role, you will be responsible for designing, building, and deploying advanced AI/ML systems specifically tailored for manufacturing operations. You will leverage Domain-Specific LoRA fine-tuning, multi-modal AI models, and enterprise-grade infrastructure to solve complex manufacturing challenges across GM's global production facilities. This role requires hands-on technical execution combined with the ability to architect scalable, production-ready AI solutions that directly impact manufacturing efficiency, quality, and innovation. Success in this role requires a unique blend of AI/ML expertise, manufacturing domain knowledge, and systems engineering excellence. You will work at the intersection of cutting-edge AI technology and real-world manufacturing operations, collaborating with plant engineers, quality teams, robotics specialists, and IT infrastructure teams to digitize Manufacturing.

What You'll Do

• Design and implement Domain-Specific LoRA fine-tuning architectures for manufacturing AI applications, including quality inspection, predictive maintenance, process optimization, and robotics control
• Develop and deploy multi-modal AI systems that integrate machine vision, controls system, robotics controls, and production telemetry for real-time manufacturing intelligence
• Build production-grade ML infrastructure supporting model training, fine-tuning, deployment, and monitoring across distributed manufacturing environments
• Architect and develop full-stack AI applications using React/TypeScript frontend with custom state management and FastAPI backend with async patterns and optimized request routing
• Implement high-performance database solutions using PostgreSQL with pgvector optimization for embedding storage, query performance tuning, and distributed architectures
• Deploy and orchestrate AI services using Kubernetes with service mesh implementation, automated scaling strategies, and comprehensive monitoring and alerting
• Develop proprietary embedding models optimized for manufacturing domain knowledge, including defect patterns, assembly sequences, and process parameters
• Optimize CUDA kernels and implement parameter-efficient training techniques for large-scale model fine-tuning on manufacturing datasets
• Design and build machine vision systems for automated quality inspection, defect detection, and process verification
• Train and deploy supervised learning models for robotics control and manufacturing execution system integration, enabling autonomous operations across production lines
• Collaborate with cross-functional teams including manufacturing engineers, quality specialists, robotics teams, and plant operations to deliver measurable improvements in production metrics
• Establish MLOps best practices including CI/CD pipelines, model versioning, A/B testing, and performance monitoring for manufacturing AI deployments

Compensation

$45 to 48/hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.