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# Cleared AI/ML Engineer

- **Company:** Accenture
- **Location:** Washington, DC, United States
- **Salary:** $108,400.0 - $203,400.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Python (Programming Language), Machine Learning, Tensorflow, Scripting, Pytorch, Deep Learning, Gitlab-ci, Kubernetes, Information Technology, HuggingFace, Data Management, Machine Learning Operations
- **Published:** July 22, 2026
- **Apply:** https://dejobs.org/x/x/4E5468BC875E485A81F353100E9F8317/job/

## About the Role

* Hands-on experience with scripting languages such as Python, JavaScript or Rust
 * Hands-on experience with developing machine learning models at scale from inception to business impact
 * Hands-on experience with any major deep learning framework and libraries (TensorFlow, PyTorch, HuggingFace)
 * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC
 * Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
 * Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
 * Experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment/s
 * Experience working with and managing processing of large datasets and computational or analytic jobs or in academic setting
 * Experience monitoring and triaging issues with data processes and tools
 * US Citizenship (No Dual citizenship)

Bonus points if you have:

 * Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required

Security Clearance:

 * Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance

## Description

* Deploy, maintain, and optimize ML models and data processes in a production environment
 * Develop custom AI/ML algorithms that translate into mission value
 * Conduct experiments, evaluate model performance, and fine-tune algorithms to improve accuracy and efficiency
 * Collaborate with cross-functional teams to integrate AI/ML models into products and services


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