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# AI Engineer - Center of Excellence

- **Company:** Aderant
- **Location:** Atlanta, GA, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Software, Cloud Engineering, Computer Programming, Data Cleansing, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Pytorch, Large Language Models, Information Technology, HuggingFace
- **Published:** August 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=83e97649b602e2a6

## About the Role

* 1-3 years of experience in AI/ML engineering, data science, or related fields.
 * Strong programming skills in Python (experience with TensorFlow, PyTorch, or similar frameworks).
 * Hands-on experience with LLMs, NLP, or other modern AI technologies.
 * Knowledge of cloud-based AI/ML services (AWS Sagemaker, Azure ML, Vertex AI).
 * Solid understanding of data engineering concepts, including ETL pipelines and data APIs.
 * Ability to work in agile teams, rapidly prototype, and iterate solutions.
 * Bachelor's or Master's in Computer Science, Data Science, or related discipline.

## Description

Role Description The AI Engineer will design, develop, and deploy AI-powered solutions as part of the AI Center of Excellence. This role is highly technical, with responsibility for turning business requirements into scalable prototypes and production-ready AI systems. The AI Engineer will work closely with the AI Lead and other engineers to accelerate adoption of AI technologies across the enterprise. Responsibilities

 * Build, train, evaluate, and deploy machine learning and generative AI models.
 * Design and implement scalable pipelines for data preparation, model training, and inference.
 * Develop APIs, services, and integrations that embed AI capabilities into business applications.
 * Experiment with state-of-the-art AI frameworks and tools (LangChain, Hugging Face, OpenAI, etc.) to deliver innovative solutions.
 * Collaborate with product and engineering teams to identify opportunities and integrate AI features.
 * Monitor model performance and continuously improve systems through retraining, fine-tuning, and optimization.
 * Contribute to documentation, knowledge sharing, and technical standards for AI adoption.


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