Accenture
AI / ML Engineer Manager
$126K–$243K
Arlington, VA +1 · Manager · Full-time · Posted Nov 17, 2025
- Location
- Arlington, VA
Arlington, Virginia, United States - Experience
- 8+ years in data science or machine learning engineering, including at least 3 years in technical leadership or management.
- Visa sponsorship
- Applicants must have US work authorization that does not now or in the future require visa sponsorship for employment authorization.
About the job
Leads a team building and operating a centralized Model-as-a-Service platform that productionizes machine-learning models for DoD missions.
What you'll do
- Lead and manage ML developers and MLOps engineers; set the platform’s technical strategy and model lifecycle practices.
- Oversee model and platform design, development, deployment, monitoring, and secure API delivery.
- Coordinate use cases, governance, project resources, timelines, and stakeholder communication.
What they ask for
- Deep expertise developing and deploying ML models with common frameworks.
- Experience building production ML systems in a cloud environment and applying MLOps practices and tools.
- Proficiency with containerization and CI/CD tools, plus Python and software engineering best practices.
- US citizenship with no dual citizenship; active TS or TS/SCI clearance.
Nice to have
- Direct experience building a Model-as-a-Service or Machine-Learning-as-a-Service platform.
- Experience with Databricks or AWS SageMaker AI, Terraform, or high-security DoD or Intelligence Community environments.
Pay
$126,300 — $243,100 USD (base salary)
Tools
TensorFlow, PyTorch, scikit-learn, AWS, Azure, GCP, MLflow, Kubeflow
AI focus
Productionizes pre-trained and custom-built AI/ML models and oversees their development, deployment, and operations for DoD missions.
Model-written summary · the original posting is authoritative