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# ML Engineer

- **Company:** Optimal Inc.
- **Location:** Warren, MI, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Big Data, General-Purpose Computing on Graphics Processing Units, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Pytorch, Deep Learning, Information Technology
- **Published:** June 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f38cdca57473a995

## About the Role

Do you have experience in Technical research projects?, Do you have a Master's degree?, Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related field.
Strong foundation in machine learning, deep learning, and computer vision.
Experience with Python and frameworks such as PyTorch or TensorFlow.
Solid understanding of linear algebra, probability, statistics, and optimization.
Research experience in machine learning or AI through academic projects, thesis work, publications, or industry experience.

Preferred Qualifications
Publications in machine learning, computer vision, or AI conferences/journals.
Experience deploying machine learning models into production environments.
Familiarity with GPU computing and performance optimization

## Description

We are seeking a Machine Learning Engineer with strong expertise in machine learning, deep learning, and computer vision. The ideal candidate will have experience developing, training, and optimizing AI models and applying advanced techniques to solve real-world image processing and perception challenges., Design, develop, and optimize machine learning and deep learning models.
Conduct experiments, evaluate model performance, and implement improvements.
Work with large-scale datasets for training, validation, and testing.
Translate research concepts into scalable, production-ready solutions.
Collaborate with engineering and research teams to integrate AI models into applications.
Document technical approaches, experiments, and findings.


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