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Generative Ai Engineer Internship Jobs in Michigan

Stellantis

AI & Automation Engineer

Auburn Hills, MI · On-site

Join our engineering organization as an AI & Automation Engineer focused on building scalable, AI ... Build and implement AI-enabled solutions including generative AI use cases for requirements ...

FastTek

Machine Learning Engineer

Dearborn, MI

Stay current with advancements in AI, Generative AI, Agentic AI, and MLOps Required Qualifications: * Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field

Reliable Software Resources

Lead Gen AI Engineer

Detroit, MI · On-site

$93K - $123K/yr

Lead Generative AI & Agent Engineer Long-term contract Location: Northville, MI (hybrid onsite) Key Requirements * Proven experience delivering multiple production-grade AI solutions * Deep expertise ...

Stellantis

AI & Automation Engineer

Auburn Hills, MI · On-site

Join our engineering organization as an AI & Automation Engineer focused on building scalable, AI ... Build and implement AI-enabled solutions including generative AI use cases for requirements ...

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Generative Ai Engineer Internship information

What is a generative AI engineer internship?

A Generative AI Engineer Internship is a temporary position where interns work on developing and optimizing AI models that generate content, such as text, images, or code. Interns typically assist in training, fine-tuning, and testing deep learning models, often using frameworks like TensorFlow or PyTorch. They may also work with large datasets, implement prompt engineering, and collaborate with researchers or engineers. This role provides hands-on experience in machine learning, model deployment, and AI ethics, helping interns build expertise in the field.

What kinds of projects or tasks do generative AI engineer interns typically work on during their internship?

Generative AI Engineer Interns usually contribute to projects involving model architecture development, data preprocessing, and evaluation of generative algorithms for tasks like text, image, or audio synthesis. Interns often collaborate closely with senior engineers and data scientists, participate in code reviews, and assist in optimizing model performance or preparing proofs of concept for new generative applications. You may also be involved in researching state-of-the-art methods and presenting your findings to the team. These experiences offer valuable hands-on exposure and are designed to prepare you for a future full-time role in AI engineering.

What are the key skills and qualifications needed to thrive in the generative AI engineer internship position, and why are they important?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, deep learning frameworks, and experience with programming languages such as Python. Familiarity with tools like TensorFlow, PyTorch, and version control systems is often expected, and relevant coursework or certifications in AI or data science are advantageous. Strong problem-solving abilities, communication skills, and eagerness to learn help distinguish top candidates in collaborative, fast-paced environments. These skills are vital for effectively developing, testing, and iterating on generative models that address real-world challenges.

What are the most commonly searched types of Generative Ai Engineer jobs in Michigan?

The most popular types of Generative Ai Engineer jobs in Michigan are:

What are popular job titles related to Generative Ai Engineer Internship jobs in Michigan?

For Generative Ai Engineer Internship jobs in Michigan, the most frequently searched job titles are:

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Generative Ai Engineer Internship jobs near you

AI & Automation Engineer

Fiat Chrysler Automobiles (FCA)

Auburn Hills, MI • On-site

Other

Posted 12 days ago

Job description

Join our engineering organization as an AI & Automation Engineer focused on building scalable, AI-enabled solutions that streamline the Verification & Validation (V&V) lifecycle. This role develops automation tools, software applications, and intelligent workflows that increase efficiency, improve quality, and accelerate delivery across engineering teams. You will partner with global stakeholders to design, deploy, and optimize modern automation and AI-driven capabilities. 

Key Responsibilities 


Design and develop software tools, APIs, scripts, and automation workflows supporting Verification & Validation (V&V) engineering activities 

Build and implement AI-enabled solutions including generative AI use cases for requirements analysis, DVP creation, automated test generation, traceability, and validation evidence review 

Integrate automation and AI solutions with engineering systems, dashboards, CI/CD pipelines, databases, and validation platforms 

Develop proof-of-concepts, run pilot programs, gather user feedback, and transition solutions into production environments 

Collaborate with cross-functional and global teams to define requirements, validate solutions, and drive adoption of automation tools 

Identify opportunities to reduce manual effort, improve process consistency, and increase engineering efficiency through automation and AI 

Ensure scalable, maintainable, and well-documented code following software development best practices 


Basic Qualifications:


* Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical field.

* Strong programming skills in at least one language such as Python, JavaScript, TypeScript, C#, or C++.

* 7+ years of relevant experience in this field

* Experience developing software tools, automation scripts, APIs, data pipelines, or workflow automation solutions.

* Understanding of software development fundamentals, including version control, debugging, testing, documentation, and maintainable code design.

* Ability to analyze engineering processes and translate them into structured automation solutions.

* Strong problem-solving, communication, and collaboration skills.

* Basic familiarity with AI-enabled tools, generative AI concepts, or AI-assisted software development, with interest in applying AI to engineering automation use cases.


Preferred Qualifications:


* Experience with AI, machine learning, generative AI, large language models, RAG, vector search, prompt engineering, or AI-assisted software development.

* Experience developing dashboards, web applications, internal engineering tools, or user-facing automation platforms.

* Experience with front-end or full-stack development using technologies such as React, TypeScript, or similar frameworks.

* Familiarity with SQL, relational databases, data modeling, or database-driven application development.

* Familiarity with cloud platforms, containers, data platforms such as Databricks or similar, and CI/CD tools such as TeamCity, Jenkins, GitHub Actions, Azure DevOps, or similar.

* Experience working with global teams and supporting adoption of new tools, methods, or automation practices.

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