Cleared AI/ML Engineer
Accenture Federal Services - Washington, DC
Posted Oct 8, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Cleared AI/ML Engineer Washington, DC 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: - 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
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