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Freelance Mechanical Engineering Machine Learning Jobs in Michigan

Corning

What do you need to have? - Bachelor's degree in Computer Science, Engineering, Data Science ... machine learning, data science, data engineering, software engineering, or relevant hands-on ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

On the engineering side of development, the Machine Learning Engineer will have the ability to be hands-on by: * Creating training and preprocessing pipelines for faster experimentation. * Creating ...

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... A comprehensive training package and transfer-of-ownership document for our internal engineering ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ... engineering from experts who will challenge your assumptions. * A self-starter who asks good ...

Varsity Tutors

Mechanical Engineering Tutor

Detroit, MI · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

FastTek

Machine Learning Engineer

Dearborn, MI

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable ...

Thermo-Vac Inc

Mechanical Engineering Manager

Oxford, MI · On-site

$93K - $129K/yr

We are seeking an experienced and results-driven Mechanical Engineering Manager to lead our ... Thorough knowledge of manufacturing processes including laser cutting, forming, machining, welding ...

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Freelance Mechanical Engineering Machine Learning information

What is the difference between Freelance Mechanical Engineering Machine Learning vs Freelance Data Scientist?

AspectFreelance Mechanical Engineering Machine LearningFreelance Data Scientist
CredentialsEngineering degrees, certifications in machine learningStatistics, data analysis, programming certifications
Work EnvironmentEngineering firms, manufacturing, product designTech companies, consulting, research labs
Industry UsageProduct development, automation, roboticsData analysis, predictive modeling, business insights

Freelance Mechanical Engineering Machine Learning professionals focus on applying machine learning techniques to mechanical engineering problems, often within manufacturing or product design. In contrast, Freelance Data Scientists analyze data across various industries to generate insights and predictive models. While both roles require machine learning skills, their industry applications and work environments differ significantly.

What are popular job titles related to Freelance Mechanical Engineering Machine Learning jobs in Michigan? For Freelance Mechanical Engineering Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Freelance Mechanical Engineering Machine Learning jobs in Michigan look for? The top searched job categories for Freelance Mechanical Engineering Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Freelance Mechanical Engineering Machine Learning jobs? Cities in Michigan with the most Freelance Mechanical Engineering Machine Learning job openings:
Freelance Mechanical Engineering Machine Learning jobs near you
Infographic showing various Freelance Mechanical Engineering Machine Learning job openings in Michigan as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Machine Learning Engineer

Corning

On-site

Full-time

Re-posted yesterday

Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

88th of 538 rated manufacturers

Job description

Are you ready to turn machine learning ideas into reliable solutions that improve how products are made?

What is your role?

As a Machine Learning Engineer, you will work within a collaborative technical team to build, deploy, monitor, and maintain machine learning solutions that create measurable business value. You will partner with data scientists, analytics leaders, IT, and manufacturing teams to move models from experimentation into scalable and reliable production environments. This role is based in Monterrey and requires regular onsite presence, with hybrid flexibility.

Major responsibilities and tasks of the position:

- Participate in the development and maintenance of end-to-end machine learning pipelines, including data ingestion, preprocessing, training, validation, deployment, monitoring, and retraining.

- Collaborate with data scientists and engineers to translate prototypes and experimental models into production-ready solutions.

- Support model serving through APIs, batch jobs, or real-time systems, and apply MLOps practices for versioning, orchestration, monitoring, and CI/CD.

- Troubleshoot data, model, deployment, and integration issues while maintaining clear technical documentation and participating in code reviews.

What do you need to have?

- Bachelor's degree in Computer Science, Engineering, Data Science, Software Engineering, Data Engineering, or a related technical field.

- 0-2 years of experience in machine learning, data science, data engineering, software engineering, or relevant hands-on academic, internship, personal, or professional projects.

- Strong Python foundation and hands-on experience with at least one machine learning library or framework such as scikit-learn, TensorFlow, or PyTorch.

- Understanding of the machine learning lifecycle and the ability to clearly explain a project, your personal contribution, the tools used, and the outcome.

- Basic familiarity with data pipelines, databases, APIs, software development practices, or workflow automation.

- Advanced technical and business English, both written and verbal.

- Ability to work onsite in Monterrey at least two days per week and support plant-based projects as needed.

What would be a plus?

- Exposure to Databricks, MLflow, Kubeflow, Docker, Kubernetes, CI/CD, or other MLOps/DevOps tools.

- Experience with manufacturing, industrial, process, plant, or production data.- A GitHub portfolio or other examples that demonstrate hands-on technical work.

What do we offer?

- Competitive benefits above the requirements of Mexican law.

- Opportunity to work on high-impact machine learning initiatives that support manufacturing and business transformation.

- Collaborative global environment with exposure to Data Science, IT, analytics, and manufacturing teams.

- Learning and career development in a growing technical organization.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com 

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