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Ml Platform Engineer Jobs in Michigan (NOW HIRING)

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

AI engineer Location: Dearborn, MI,48120- 2 days onsite in a week Employment Type: Full-time ... Drive PoCs/Discoveries of new tools and technologies to support robust ML Platform * Collaborate ...

... science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI ... solutions. This role is hands-on and delivery-oriented: you will ship production pipelines and ...

Principal Engineer CoCounsel is our most advanced AI offering to date - combining generative and ... Partner with AI/ML and platform teams to right-size model selection, routing, and usage patterns ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Participates in architecture reviews and contribute to the evolution of the data and ML platform ... BA/BS in Computer Science, Software Engineering, or a related technical field, and/or equivalent ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Participates in architecture reviews and contribute to the evolution of the data and ML platform ... BA/BS in Computer Science, Software Engineering, or a related technical field, and/or equivalent ...

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

... ML Platform stack. • Leverage emerging techniques in the End-to-End driving, Vision Language ... cross functional Engineers beyond the state of the art. • Define data balance, training ...

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

AI/ML Solution Development: Design, develop, and implement machine learning models and AI ... Strong understanding of cloud platforms, DevOps practices, and data processing technologies.

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

AI/ML Solution Development: Design, develop, and implement machine learning models and AI ... Strong understanding of cloud platforms, DevOps practices, and data processing technologies.

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Ml Platform Engineer information

See Michigan salary details

$28

$55

$82

How much do ml platform engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ml platform engineer in Michigan is $55.74, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $64.33 per hour, depending on experience, location, and employer.

What is an ML Platform Engineer?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What skills and qualifications are needed to thrive as an ML Platform Engineer?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.
What are popular job titles related to Ml Platform Engineer jobs in Michigan? For Ml Platform Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ml Platform Engineer jobs in Michigan look for? The top searched job categories for Ml Platform Engineer jobs in Michigan are:
What cities in Michigan are hiring for Ml Platform Engineer jobs? Cities in Michigan with the most Ml Platform Engineer job openings:
Infographic showing various Ml Platform Engineer job openings in Michigan as of August 2026, with employment types broken down into 55% Full Time, 42% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $115,945 per year, or $55.7 per hour.

Automation Platform and AI Integration Engineer

General Motors

Warren, MI • On-site

Full-time

Posted 23 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,272 frontline employees who took The Breakroom Quiz


Job description

Job Description

The Role:

The Automation Platform Engineer is a strategic member of the organization responsible for the operations, roadmap execution, governance, and enterprise adoption of its automation platform ecosystem, including tools such as Ansible, Chef, and Terraform Enterprise. This role combines deep technical expertise in workflow and platform automation with strong platform engineering leadership to build scalable, secure, reusable, and customer-centric automation capabilities across the enterprise.

You will maintain, design, and evolve automation platforms, develop reusable automation frameworks, and integrate automation with enterprise systems such as ServiceNow and other operational tooling. A key focus of the role is leading the integration of Agentic AI into workflow and platform automation tools to enable intelligent orchestration, streamline multi-step workflows, and improve automation across enterprise systems.

This role is central to expanding self-service capabilities, reducing operational toil, and modernizing infrastructure and platform operations through AI-enabled automation. Success in this role means delivering reliable, secure, and scalable automation that accelerates operational excellence, improves user adoption, and drives the next generation of intelligent enterprise workflows.

What You'll Do

Agentic AI Integration for Workflow and Platform Automation

  • Lead the integration of Agentic AI capabilities into workflow and platform automation tools to improve orchestration, decision support, and execution efficiency.
  • Design and implement AI-enabled automation patterns such as intelligent workflow generation, automation validation, remediation recommendations, change-impact analysis, troubleshooting assistance, and root-cause analysis.
  • Build automation patterns that combine AI reasoning with governed workflow and platform execution to support more predictive, adaptive, and autonomous operations.
  • Partner with AI/ML, platform, security, application, ITAM and ITSM teams to embed automation signals, operational context, and enterprise controls into AI-driven automation solutions.
  • Help shape the next generation of intelligent enterprise automation by aligning platform engineering, workflow automation, and Agentic AI capabilities into scalable operational solutions.

Automation Framework Design and Enablement

  • Design enterprise-grade automation frameworks using reusable modules, workflows, and integration patterns that support infrastructure, platform, and operational use cases.
  • Build automation solutions for provisioning, configuration management, patching, compliance, cloud infrastructure, and operational workflows.
  • Integrate automation platforms with enterprise systems and toolchains such as ServiceNow, CI/CD pipelines, GitOps workflows, observability platforms, and event-driven automation services.
  • Enable self-service automation capabilities for engineering, operations, and business teams through well-defined templates, reusable services, and governed platform access.

Automation Platform Development and Operations

  • Design, implement, operate, and continuously improve the enterprise automation platform ecosystem, including tools such as Ansible, Chef, Terraform Enterprise, and related workflow automation technologies.
  • Define and maintain the automation platform roadmap, including feature evolution, lifecycle management, scalability planning, platform reliability, and enterprise adoption milestones.
  • Establish and enforce platform governance, including coding standards, reusable patterns, testing frameworks, operational guardrails, and security controls across automation solutions.
  • Build and maintain reusable automation foundations optimized for performance, security, maintainability, and dependency management.
  • Lead platform upgrades, migrations, standardization efforts, and cross-environment consistency initiatives.

Required Qualifications

  • Bachelor's degree in Engineering, Computer Science, Information Technology, or a related technical field. Concentration or demonstrated focus in AI technologies is a plus.
  • 3-5+ years of experience in platform engineering, DevOps, and enterprise automation.
  • Experience designing, operating, and scaling automation platforms and reusable automation frameworks in complex enterprise environments.
  • Background in infrastructure automation, configuration management, provisioning, patching, compliance, and operational workflow automation.
  • Experience integrating automation platforms with enterprise systems and toolchains such as ServiceNow, CI/CD pipelines, GitOps workflows, observability platforms, and event-driven automation services.
  • Strong scripting and automation development skills using languages such as Python, Bash, or PowerShell.
  • Familiarity with Linux systems, containers, Kubernetes, and modern orchestration patterns.
  • Experience establishing platform standards, governance, security controls, and reusable engineering patterns for automation at scale.

Preferred Qualifications

  • Experience implementing Agentic AI, AIOps, or AI-enabled automation within infrastructure, platform, or operational workflows.
  • Experience integrating AI capabilities into enterprise automation tools for use cases such as workflow generation, validation, remediation, troubleshooting, or operational decision support.
  • Hands-on experience with enterprise automation tools such as Ansible, Chef, Terraform Enterprise, and other infrastructure or workflow automation platforms.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Working at General Motors


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908