Jr. AI/ML Engineer

Accenture Federal Services•Annapolis Junction, MD

11d•$80,000 - $120,000•Onsite

About The Position

At Accenture Federal Services, our purpose is to make the US federal government stronger and safer, and to improve the lives of citizens through technology and ingenuity. We are a community of over 13,000 professionals dedicated to serving clients across defense, national security, public safety, civilian, and military health organizations. Accenture Federal Services, part of the global Accenture network, is recognized as a Glassdoor Top 100 Best Place to Work. We foster a collaborative and supportive environment where employees are empowered to grow, learn, and thrive through hands-on experience, certifications, and industry training. Join us to drive meaningful change and advance government missions. We are seeking a highly motivated and skilled Jr. Data Scientist/AI Specialist to join our innovative team in the Annapolis Junction, MD area. The ideal candidate will have a strong foundation in programming, statistical analysis, machine learning, and data preparation to ensure effective data analysis and informed decision-making.

Requirements

Experience in software engineering in similar programs and contracts utilizing programming languages such as: C++, Python, or Go Lang
Bachelor’s degree in Systems Engineering, Computer Science, Computer Engineer, or a related field
4 years of relevant experience can substitute for a Bachelor’s degree
Experience with at least one major agentic AI framework (e.g.: LangGraph, CrewAI, Google ADK, or similar) OR experience with AI coding agents (e.g.: Claude Code, OpenAI Codex, Cursor, or similar) as a core part of your development workflow
Must have an active TS/SCI with polygraph level clearance

Nice To Haves

Strong foundation in statistics and probability, including regression analysis and hypothesis testing
Hands-on experience with machine learning frameworks such as SageMaker, TensorFlow and Scikit-Learn
Expertise in data wrangling to prepare raw data for analysis
Excellent problem-solving and analytical skills
Familiarity with libraries like NumPy, pandas, and advanced visualization tools
Experience in creating impactful data visualizations and reports for stakeholders
Ability to work independently and in a collaborative team environment

Responsibilities

Develop and implement data-driven solutions using programming languages such as Python and R
Conduct statistical analyses, including regression, hypothesis testing, and distribution analysis, to interpret data accurately
Design and train machine learning models using frameworks like TensorFlow and Scikit-Learn for predictive analytics and automation
Perform data wrangling to clean and organize raw datasets, making them ready for meaningful analysis
Collaborate with cross-functional teams to understand business needs and deliver actionable insights