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# AI/ML Engineer

- **Company:** NextGen Staffing
- **Location:** United States (Remote available)
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, Cloud Computing, Computer Programming, Data Cleansing, Data Structures, Database Theory, Revision Control Systems, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Standard Sql, Unstructured Data, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Model Validation, Generative AI, Git, Pandas, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** June 19, 2026
- **Apply:** https://www.dice.com/job-detail/39ee7b42-0e85-4839-a1af-aaea31b2b3f5

## About the Role

We are seeking a motivated and enthusiastic AI/ML Engineer () to join our growing team. This is an excellent opportunity for entry level candidates and early-career professionals who are passionate about Artificial Intelligence, Machine Learning, Data Science, and Generative AI technologies. Candidates on OPT are welcome to apply., * Bachelor''s or Master''s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Information Technology, or a related field.

 * Strong understanding of Machine Learning fundamentals and algorithms.
 * Knowledge of Python programming.
 * Familiarity with libraries/frameworks such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.
 * Basic understanding of statistics, data structures, and algorithms.
 * Knowledge of SQL and database concepts.
 * Strong analytical and problem-solving skills.
 * Good communication and teamwork abilities., * Academic projects, internships, or personal projects in AI/ML.
 * Exposure to Generative AI, Large Language Models (LLMs), NLP, or Computer Vision.
 * Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 * Understanding of MLOps concepts and version control tools like Git.
 * Experience with APIs and model deployment is a plus.

## Description

* Assist in developing, training, testing, and deploying machine learning models.
 * Work with structured and unstructured datasets for data analysis and model development.
 * Support the implementation of AI/ML solutions for business use cases.
 * Collaborate with senior engineers, data scientists, and product teams.
 * Perform data preprocessing, feature engineering, and model evaluation.
 * Develop and maintain Python-based scripts and ML pipelines.
 * Research and experiment with emerging AI technologies, including LLMs and Generative AI.
 * Document technical designs, processes, and project outcomes.


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