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Senior Applied AI Engineer III - Data Science & Analytics

Fort Meade, MD, US • Posted 22 hours ago • Updated 9 hours ago

Full Time

On-site

USD $209,000.00 - 266,000.00 per year

Fitment

Dice Job Match Score™

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Job Details

Skills

Data Analysis
Clustering
Predictive Analytics
Workflow
Collaboration
Unstructured Data
Mentorship
Technical Direction
Computer Science
Software Engineering
Python
Data Science
Statistics
Core Data
Science
Pandas
NumPy
scikit-learn
Artificial Intelligence
Reasoning
Conflict Resolution
Problem Solving
SQL
Elasticsearch
Communication
Analytical Skill
Prompt Engineering
Geospatial Analysis
Analytics
Time Series
Data Visualization
Dashboard
Machine Learning (ML)

Data Analysis
Clustering
Predictive Analytics
Workflow
Collaboration
Unstructured Data
Mentorship
Technical Direction
Computer Science
Software Engineering
Python
Data Science
Statistics
Core Data
Science
Pandas
NumPy
scikit-learn
Artificial Intelligence
Reasoning
Conflict Resolution
Problem Solving
SQL
Elasticsearch
Communication
Analytical Skill
Prompt Engineering
Geospatial Analysis
Analytics
Time Series
Data Visualization
Dashboard
Machine Learning (ML)

Summary

Job Description

SALARY RANGE $209,000 - $266,000/year.

DUTIES As a successful candidate for the Senior Applied AI Engineer III role, you will join a fast-moving AI team delivering mission-critical capabilities that enable analysts and operators to make rapid, data-driven decisions. In this position, you will combine data science, machine learning, and software engineering to design AI-enabled analytical applications, construct LLM and Retrieval-Augmented Generation (RAG) workflows, and transform complex datasets into actionable mission insights. Working directly with mission customers, you will evaluate operational challenges, rapidly prototype AI/ML solutions, integrate large-scale data platforms, mentor junior engineers, and shape the team's technical direction.

Required Skills

SKILLS

Design and develop AI-enabled analytics applications using Python and modern software engineering practices
Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on complex mission datasets
Develop pattern-of-life, anomaly detection, clustering, and predictive analytics capabilities
Build Retrieval-Augmented Generation (RAG) and LLM-powered workflows to enhance analytical processes
Collaborate directly with mission customers to understand datasets and develop tailored, AI-driven analytical solutions
Integrate structured and unstructured data sources into scalable AI applications
Evaluate emerging AI and machine learning techniques for mission applicability
Mentor junior engineers and contribute to overall technical direction across the team

QUALIFICATIONS Twelve (12) years' experience as an SWE in programs and contracts of similar scope, type, and complexity is required. A Bachelor's degree in Computer Science or a related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.

Additional requirements:

Proven experience developing production-grade software using Python
Demonstrated background in data science, machine learning, or statistical analysis
Proficiency with core data science libraries such as Pandas, NumPy, Scikit-learn, or similar tools
Hands-on experience building functional AI or machine learning applications
Strong analytical reasoning and technical problem-solving skills
Experience working with SQL, Elasticsearch, or other large-scale data platforms
Strong communication skills with the ability to convey technical concepts to both technical and non-technical stakeholders
Track record of collaborating directly with customers to solve analytical challenges

Desired Skills

NICE-TO-HAVES

Experience with LLMs, prompt engineering, or Retrieval-Augmented Generation (RAG) architectures
Experience with geospatial analysis, pattern-of-life analytics, or time-series analysis
Experience with data visualization tools and interactive dashboard development
Experience deploying machine learning models into production environments
Experience supporting classified mission environments

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91130336
Position Id: 296b0bfb5ccd101bfd899a7845a591f8
Posted 22 hours ago

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