Accenture Federal Services
Jr. AI/ML Engineer
About this role
Accenture Federal Services seeks a Junior AI/ML Engineer to develop data-driven solutions and machine learning models for U.S. federal government clients in defense and national security. The role involves programming in Python and R, statistical analysis, model training with TensorFlow and Scikit-Learn, and cross-functional collaboration to deliver actionable insights.
What you'll do
- Develop and implement data-driven solutions using Python and R programming languages
- Conduct statistical analyses including regression, hypothesis testing, and distribution analysis
- Design and train machine learning models using TensorFlow and Scikit-Learn for predictive analytics
- Perform data wrangling to clean and prepare raw datasets for analysis
- Collaborate with cross-functional teams to understand business requirements and deliver insights
- Work with agentic AI frameworks or AI coding agents as part of development workflow
What they're looking for
- Python programming
- R programming
- Machine learning frameworks (TensorFlow, Scikit-Learn, SageMaker)
- Statistical analysis and hypothesis testing
- Data wrangling and preparation
- Agentic AI frameworks (LangGraph, CrewAI) or AI coding agents (Claude Code, Cursor)
- Data visualization and reporting
- C++ or Go Lang experience
Benefits
- Recognized as Glassdoor Top 100 Best Place to Work
- Hands-on experience and professional development opportunities
- Industry certifications and training programs
- Collaborative and inclusive work environment
- Comprehensive benefits package
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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 a machine learning project where you built and deployed a predictive model—what frameworks did you use and what challenges did you encounter?
- Describe your experience with agentic AI frameworks or AI coding agents. How have you incorporated them into your development workflow?