Accenture
Cleared AI/ML Engineer
$108K–$203K
Washington, DC +1 · Full-time · Posted Mar 12, 2026
- Location
- Washington, DC
Washington, District of Columbia, United States - Education
- Advanced degree in computer science or a technology, engineering, or mathematics (STEM)-related field is a bonus; Ph.D. preferred but not required.
- Visa sponsorship
- Applicants must have US work authorization that does not now or in the future require visa sponsorship.
About the job
Develops and deploys machine-learning systems and MLOps workflows for government mission applications, improving model performance and integrating solutions into products and services.
What you'll do
- Develop MLOps frameworks and workflows; deploy, maintain, and optimize models and data processes in production.
- Create custom AI/ML algorithms and architectures, define use cases, and evaluate approaches through experiments and benchmarks.
- Collaborate with cross-functional teams to integrate models into products and services.
What they ask for
- Hands-on scripting experience with Python, JavaScript, or Rust.
- Familiarity with MLOps and CI/CD tools, such as MLFlow, WandB, Airflow, Kubeflow, Gitlab CI, or DVC.
- Experience developing and deploying machine-learning pipelines in AWS, Azure, or GCP.
- Experience managing large datasets and computational or analytic jobs; must be a US citizen with no dual citizenship.
Nice to have
- Active Top Secret, TS/SCI, or TS/SCI with polygraph clearance.
- Advanced STEM-related degree; Ph.D. preferred.
Pay
$108,400 — $203,400 USD (base salary)
Tools
Python, JavaScript, Rust, MLFlow, WandB, Airflow, Kubeflow, Gitlab CI
AI focus
Builds custom AI/ML algorithms and production ML systems for federal mission applications, including experimentation, model evaluation, and optimization.
Model-written summary · the original posting is authoritative