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# Artificial Intelligence and Machine Learning Computational Science professional

- **Company:** Accenture
- **Location:** Columbus, OH, United States
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Data Analysis, Machine Learning, Server Administration, Multi-Agent Systems, Deep Learning, AI Platforms
- **Published:** August 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-ml-computational-science-manager-columbus-oh--1137a0ac-1773-472c-be49-81d74126feca

## About the Role

Artificial Intelligence (AI), Cross-Functional, Data Analysis, Deep Learning, Ecosystems, Equipment Maintenance/Repair, Investment Strategy, Machine Learning, Maintain Compliance, Problem Solving Skills, Product/Service Launch, Production Systems, Software Administration, Test Plan/Schedule, Testing, Training Data Sets, Use Cases

## Description

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions., * Collaborate with stakeholders to engineer innovative solutions for new system roll-outs, enhancements, and maintenance of existing applications, ensuring adherence to programming standards.

 * Develop system specifications, create test plans, and conduct project and issue management for the assigned scope of work.
 * Design/Build solutions using AI services and machine learning models to address unique use cases, employing cutting-edge techniques and methodologies.
 * Utilize machine learning and advanced AI techniques to extract valuable insights from complex datasets and solve intricate problems.
 * Deploy trained models into production environments, ensuring scalability, reliability, and optimal performance, while integrating seamlessly with existing systems and applications.
 * Design and implement agents and multi-agent architectures to optimize client workflows.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.


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