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Patterned Learning Ai Jobs in Washington, DC (NOW HIRING)

KDA Consulting Inc

Data Scientist

Chantilly, VA · On-site

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve ... Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies

KDA Consulting Inc

Data Scientist

Mclean, VA · On-site

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve ... Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies

KDA Consulting Inc

Data Scientist

Herndon, VA · On-site

Machine Learning & AI Development * Design, develop, and deploy machine learning models to solve ... Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies

Venturegloballng

Principal, AI Engineer

Arlington, VA · On-site

This role owns the reference architecture, design patterns, and engineering standards for how the company builds and deploys AI agents and machine learning systems across cloud and secure on-premises ...

Posted today

System One

AI/ML Engineer

Mclean, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop machine learning models for classification, clustering, anomaly detection, risk scoring ... Ability to work with large, disparate datasets and identify hidden patterns, relationships ...

System One

AI/ML Engineer

Mclean, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop machine learning models for classification, clustering, anomaly detection, risk scoring ... Ability to work with large, disparate datasets and identify hidden patterns, relationships ...

System One

AI/ML Engineer

Mclean, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop machine learning models for classification, clustering, anomaly detection, risk scoring ... Ability to work with large, disparate datasets and identify hidden patterns, relationships ...

DCCA

AI - Enigneer/Analyst

Mclean, VA · On-site

... learning, natural language processing, generative AI, and Agentic AI. • Experience analyzing complex data sets to identify patterns and trends, and designs and develops AVML models to solve ...

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All JobsPatterned Learning Ai JobsPatterned Learning Ai Jobs in Washington, DC

Patterned Learning Ai information

See Washington, DC salary details

$30

$46

$78

How much do patterned learning ai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for patterned learning ai in Washington, DC is $46.09, according to ZipRecruiter salary data. Most workers in this role earn between $33.51 and $59.90 per hour, depending on experience, location, and employer.

What is patterned learning AI?

Patterned Learning AI refers to artificial intelligence systems designed to recognize, learn from, and replicate patterns in data. These systems use algorithms to identify trends, correlations, and structures within large datasets, enabling them to make predictions or automate decision-making processes. Patterned Learning AI is commonly used in fields like image recognition, natural language processing, and predictive analytics. Its applications help businesses and researchers uncover hidden insights, streamline operations, and improve accuracy in various tasks.

What are some typical challenges faced by patterned learning AI professionals in implementing AI-driven solutions within organizations?

Patterned Learning AI professionals often encounter challenges such as integrating AI models with existing legacy systems, ensuring high-quality and representative training data, and aligning AI solutions with specific business objectives. Collaboration across multidisciplinary teams—including data scientists, software engineers, and business stakeholders—is essential for successful deployment. Additionally, professionals must stay updated on evolving AI technologies and best practices to maintain model accuracy and address ethical considerations.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (especially Python), and a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as familiarity with cloud computing platforms and data management tools, is essential. Excellent problem-solving skills, creativity, and clear communication are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies are vital for developing reliable AI systems that solve real-world problems and drive innovation.

What is the difference between Patterned Learning Ai vs Data Scientist?

AspectPatterned Learning AiData Scientist
Required CredentialsTypically requires machine learning, AI, or computer science degrees; certifications in AI toolsRequires degrees in statistics, computer science, or related fields; often certifications in data analysis
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed by AI-focused organizations developing intelligent systemsEmployed across industries for data analysis, predictive modeling, and decision support

Patterned Learning Ai primarily focuses on developing AI models and algorithms, often requiring specialized technical skills. Data Scientists analyze data to extract insights and inform business decisions. While both roles involve data and machine learning, Patterned Learning Ai is more centered on creating AI systems, whereas Data Scientists interpret data for strategic purposes.

What are popular job titles related to Patterned Learning Ai jobs in Washington, DC?

For Patterned Learning Ai jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Patterned Learning Ai jobs in Washington, DC look for?

The top searched job categories for Patterned Learning Ai jobs in Washington, DC are:

Patterned Learning Ai jobs near you
Infographic showing various Patterned Learning Ai job openings in Washington, DC as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $95,873 per year, or $46.1 per hour.

Data Scientist

KDA Consulting Inc

Chantilly, VA • On-site

Full-time

Re-posted 16 days ago

Job description

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on leveraging advanced analytics, machine learning, and artificial intelligence to extract insights from large, complex datasets and support data-driven decision-making.
The ideal candidate will have a strong foundation in statistical analysis, machine learning model development, and data visualization, along with the ability to translate complex findings into actionable insights for both technical and non-technical stakeholders.
Machine Learning & AI Development
  • Design, develop, and deploy machine learning models to solve complex mission problems
  • Build predictive and prescriptive analytics solutions to support operational and strategic decision-making
  • Evaluate model performance and continuously improve algorithms through testing and tuning

Data Analysis & Exploration
  • Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies
  • Perform data cleansing, feature engineering, and transformation to prepare data for modeling
  • Apply statistical techniques to validate hypotheses and support analytical findings

Data Visualization & Communication
  • Develop dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Python visualization libraries
  • Communicate insights and recommendations clearly to both technical teams and senior leadership
  • Translate complex analytical results into actionable business or mission outcomes

Model Deployment & Integration
  • Collaborate with data engineers and software developers to operationalize models into production environments
  • Integrate machine learning solutions into enterprise systems and workflows
  • Support cloud-based model deployment in environments such as AWS or Azure

Collaboration & Agile Delivery
  • Work closely with cross-functional teams including engineers, analysts, and mission stakeholders
  • Participate in Agile processes including sprint planning, stand-ups, and retrospectives
  • Contribute to continuous improvement of data science methodologies and processes

Requirements
Active TS/SCI W/ Polygraph Required.
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience)
Strong experience in data science, machine learning, and statistical analysis
Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Experience analyzing and working with large-scale datasets
Strong understanding of statistical modeling, probability, and data analysis techniques
Experience with data visualization tools and communicating insights effectively
Strong problem-solving skills and ability to work in complex, mission-driven environments

Apply