Accenture Federal Services
AI/ML Engineer
About this role
AI/ML Engineer at Accenture Federal Services designing and maintaining machine learning lifecycle systems for U.S. federal government clients. Build infrastructure for model training, deployment, and serving while implementing MLOps practices and supporting data scientists across defense and national security missions.
What you'll do
- Design and build AI/ML lifecycle core services, orchestration capabilities, and model serving platforms
- Develop automated ML pipelines with model monitoring, performance tracking, and explainability tools
- Implement MLOps practices for continuous integration and deployment of models
- Optimize algorithms for performance and scalability; troubleshoot complex system issues
- Collaborate with data engineers on data pipelines and provide technical guidance to data scientists
- Develop testing frameworks and implement version control for models and datasets
What they're looking for
- AI/ML model development and deployment
- MLOps and ML infrastructure
- Machine learning platforms and model serving
- Python or similar ML programming languages
- Data pipeline and orchestration tools
- Model monitoring and explainability techniques
- Cloud platforms (AWS, Azure, or GCP)
- CI/CD practices and tools
Benefits
- Competitive base pay ($91,300–$184,900 depending on location and experience)
- Comprehensive benefits package
- Professional certifications and industry training opportunities
- Collaborative and inclusive work environment
- Continuous learning and career growth opportunities
- Recognized as Glassdoor Top 100 Best Place to Work
Opens the official application on the employer’s site. No login required.
Accenture Federal Services
Accenture Federal Services builds and maintains mission-critical technology solutions for the U.S. federal government, including cloud infrastructure, enterprise systems integrations, and cyber defense tools. The company is hiring DevOps engineers, full-stack developers, SAP specialists, and test engineers to support classified and unclassified federal government projects.
- Website
- accenturefederal.com
Likely interview questions
- Walk us through your experience deploying ML models in enterprise production environments and how you ensured reliability.
- Describe your approach to implementing MLOps practices; what tools and frameworks have you used?