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# AI/ML Engineer

- **Company:** Aivra Health Llc
- **Location:** Dallas, TX, United States
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Computer Programming, Continuous Integration, Data Cleansing, Data Structures, Github, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Standard Sql, Unstructured Data, Data Processing, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Git, Pandas, Pyspark, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Restful APIs, Docker
- **Published:** August 12, 2026
- **Apply:** https://www.dice.com/job-detail/b85316a5-18ca-499b-851d-3cd9e33944c3

## About the Role

* Python
 * Machine Learning
 * Deep Learning
 * TensorFlow / PyTorch
 * Scikit-learn
 * NumPy
 * Pandas
 * SQL
 * Data Structures & Algorithms
 * Data Preprocessing & Feature Engineering
 * Model Training & Evaluation
 * REST APIs
 * Git

Preferred Skills

 * Generative AI / LLMs
 * Prompt Engineering
 * RAG
 * LangChain / LangGraph
 * NLP or Computer Vision
 * AWS / Azure / Google Cloud Platform
 * Docker
 * Kubernetes
 * MLflow
 * CI/CD
 * MLOps
 * PySpark

Education

 * Master''s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field.
 * Master''s degree preferred.

Ideal Candidate

The ideal candidate has a strong academic background in AI/ML, Computer Science, Data Science, or IT and can demonstrate hands-on experience through internships, academic projects, research, GitHub repositories, or professional experience.

entry level candidates are welcome, provided they have practical AI/ML projects and strong technical fundamentals.

## Description

We are seeking a motivated AI/ML Engineer to design, develop, train, and deploy machine learning and artificial intelligence solutions. The ideal candidate should have strong programming skills in Python and hands-on experience with machine learning, deep learning, data processing, and modern AI technologies., * Develop and implement machine learning and deep learning models.

 * Perform data preprocessing, feature engineering, model training, and evaluation.
 * Build AI/ML solutions using Python and popular ML frameworks.
 * Work with structured and unstructured datasets.
 * Develop and optimize ML pipelines for model training and deployment.
 * Implement predictive models and recommendation/classification systems.
 * Work with Generative AI, LLMs, prompt engineering, or RAG-based applications.
 * Deploy and monitor ML models in cloud or production environments.
 * Collaborate with software engineers and data teams to integrate AI/ML models into applications.
 * Write clean, maintainable, and well-tested Python code.
 * Analyze model performance and improve accuracy, scalability, and efficiency.


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