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Cleared AI/ML Engineer

Accenture Federal Services
CompanyAccenture Federal Services
CategoryEngineering
LocationChantilly
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted21 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
  At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.    Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.    Join us to drive positive, lasting change that moves missions and the government forward!   The work:   Develop MLOps frameworks and workflows for a variety of domains and applications   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   Here’s what you need:   Experience with any of the following in practice or educational: Hands-on experience with scripting languages such as Python, JavaScript or Rust   Hands-on experience with developing models at scale from inception to business impact   Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or 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 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:  An active TS/SCI clearance is required   As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.   The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is: $114,300 — $159,100 USD &n
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Cleared AI/ML Engineer — Accenture Federal Services · Job Opportunities API