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# Senior AI ML Engineer (Computer Vision)

- **Company:** Manpowergroup Talent Solutions, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Software Quality, Data Transformation, Cursor (Graphical User Interface Elements), Python (Programming Language), Machine Learning, Tensorflow, Unstructured Data, Google Cloud, Cloud Platform System, Feature Engineering, GitHub Copilot, Pytorch, Scikit Learn, Data Analytics, Machine Learning Operations, Artificial Intelligence Markup Language (AIML)
- **Published:** September 10, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pj2723rscy

## About the Role

* Minimum 8 years of relevant experience in AI, Machine Learning, or Data Science roles.
 * Excellent English communication skills.
 * Strong proficiency in Python and common ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar).
 * Familiarity with deploying ML models in cloud environments (AWS, GCP, Azure, or similar).
 * Strong communication skills and ability to work effectively in a remote, cross-functional team.
 * Experience using AI coding assistants (Copilot, Cursor, Warp) is a strong plus.
 * Indonesian Citizen.

If you thrive in a demanding, fast-paced environment and are eager to work on impactful AI-driven products, this could be the perfect opportunity for you.

## Description

Our client is seeking an AI / Machine Learning Engineer who is passionate about designing, building, and deploying data-driven models into real-world applications. In this role, you will work on developing, training, and optimizing machine learning models, while collaborating closely with software engineers to integrate AI solutions into production systems., * Design, build, train, and evaluate machine learning and AI models for real-world use cases.

 * Work with structured and unstructured data to develop predictive, classification, or generative models.
 * Develop and maintain data pipelines for data collection, preprocessing, and feature engineering.
 * Deploy machine learning models into production environments and monitor their performance.
 * Optimize models for accuracy, scalability, and efficiency.
 * Collaborate with cross-functional teams (engineering, product, data) to translate business needs into AI solutions.
 * Leverage AI-assisted development tools (GitHub Copilot, Cursor, Warp, etc.) to improve development speed and code quality.


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