Accenture Federal Services
AI/ML Engineer
About this role
Accenture Federal Services seeks an AI/ML Engineer to develop and deploy machine learning solutions for U.S. federal government clients in defense, national security, and public safety. You'll build MLOps frameworks, optimize production models, and create custom algorithms that drive mission-critical impact.
What you'll do
- Develop MLOps frameworks and workflows across multiple domains
- Deploy, maintain, and optimize ML models in production environments
- Create custom AI/ML algorithms aligned with mission objectives
- Run experiments and fine-tune models to improve performance
- Integrate AI/ML solutions with cross-functional teams
What they're looking for
- Machine learning development
- MLOps and model deployment
- Algorithm design and optimization
- Data processing and pipeline management
- Software engineering best practices
- Experimentation and model evaluation
- Cross-functional collaboration
Benefits
- Glassdoor Top 100 Best Place to Work recognition
- Professional growth through certifications and industry training
- Collaborative work environment
- Hands-on learning opportunities
- Meaningful work supporting federal government missions
Opens the application — the Jobs AI extension fills it for you. Set up autofill
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
- Can you describe your experience developing and deploying MLOps frameworks? What tools and platforms have you used?
- Tell us about a time you deployed an ML model to production. What challenges did you face and how did you optimize it?