Accenture
Machine Learning Engineer
$108K–$203K
Washington, DC +1 · Full-time · Posted Oct 16, 2026
- Location
- Washington, DC
Washington, District of Columbia, United States - Visa sponsorship
- Applicants must have U.S. work authorization that does not now or in the future require visa sponsorship. Must be a U.S. Citizen (No Dual citizenship).
About the job
Designs, builds, deploys, and maintains production machine learning systems and end-to-end MLOps pipelines for federal mission-critical applications.
What you'll do
- Develop MLOps frameworks and workflows; build and maintain production models and end-to-end ML pipelines.
- Deploy, monitor, and optimize ML solutions using cloud platforms and containerized technologies; address performance issues and model drift.
- Collaborate with engineering and data teams to integrate scalable ML solutions into mission-critical applications.
What they ask for
- Hands-on experience building, training, deploying, and maintaining ML models in production.
- Strong Python proficiency and experience with one or more named ML frameworks.
- Experience developing and maintaining end-to-end ML pipelines and applying MLOps practices and tools.
- Experience deploying models with cloud-native or containerized technologies; must be a U.S. Citizen (No Dual citizenship).
Nice to have
- Advanced degree in a computer science, technology, engineering, or mathematics (STEM) related field; Ph.D. preferred but not required.
Pay
$108,400 — $203,400 USD (base salary)
Tools
Python, PyTorch, TensorFlow, Scikit-learn, XGBoost, Hugging Face, Docker, Kubernetes
AI focus
Build and operate production machine learning systems, including training, deployment, monitoring, and MLOps automation.
Model-written summary · the original posting is authoritative