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Patterned Learning Ai Jobs in Washington (NOW HIRING)

AI Developer

Mclean, VA

$145K - $185K/yr

... and custom machine learning models. The AI Developer / Product SME will work closely with ... Collaborate with LLMOps teams to ensure robust deployment patterns, monitoring strategies ...

AI Developer

Mclean, VA · On-site

$145K - $185K/yr

... and custom machine learning models. The AI Developer / Product SME will work closely with ... Collaborate with LLMOps teams to ensure robust deployment patterns, monitoring strategies ...

AI Developer

Mclean, VA · On-site +1

$145K - $185K/yr

... and custom machine learning models. The AI Developer / Product SME will work closely with ... Collaborate with LLMOps teams to ensure robust deployment patterns, monitoring strategies ...

... Learning , and serverless compute. * Architect integrated AI agent ecosystems using Microsoft ... Define patterns for secure API exposure, private endpoints, identity‑based access (Managed ...

... Learning , and serverless compute. * Architect integrated AI agent ecosystems using Microsoft ... Define patterns for secure API exposure, private endpoints, identity-based access (Managed ...

AI Summer Intern

Ellicott City, MD

$15 - $20/hr

AI Intern 2026 AI Developer Intern -- 60-90 Day Summer Internship What We're Looking For HCIactive ... This role requires someone who can learn quickly, follow established development patterns, adapt to ...

AI Architect

Tysons Corner, VA · On-site

$63.50 - $83.50/hr

Rapid domain-learning ability - the curiosity and pattern recognition to understand Tax, Assurance, Advisory and Wealth Management workflows deeply enough to design contextually accurate AI solutions.

AI Architect

Rockville, MD · On-site

$64.25 - $84.50/hr

Rapid domain-learning ability - the curiosity and pattern recognition to understand Tax, Assurance, Advisory and Wealth Management workflows deeply enough to design contextually accurate AI solutions.

... Learning , and serverless compute. * Architect integrated AI agent ecosystems using Microsoft ... Define patterns for secure API exposure, private endpoints, identity-based access (Managed ...

Overview Integration Innovation, Inc. (i3) is seeking a motivated SME level AI/Machine Learning ... patterns, and enterprise scale data solutions. * Lead integration of AI capabilities into ...

... and custom machine learning models. The AI Developer / Product SME will work closely with ... Collaborate with LLMOps teams to ensure robust deployment patterns, monitoring strategies ...

... and custom machine learning models. The AI Developer / Product SME will work closely with ... Collaborate with LLMOps teams to ensure robust deployment patterns, monitoring strategies ...

AI Developer / Product SME

Mclean, VA · On-site

$145K - $185K/yr

... and custom machine learning models. The AI Developer / Product SME will work closely with ... Collaborate with LLMOps teams to ensure robust deployment patterns, monitoring strategies ...

Implement agentic AI patterns such as tool/function calling, planner-executor flows, structured ... AI/ML certifications (e.g., AWS Machine Learning Specialty, AWS Generative AI, Azure AI Engineer)

Implement agentic AI patterns such as tool/function calling, planner-executor flows, structured ... AI/ML certifications (e.g., AWS Machine Learning Specialty, AWS Generative AI, Azure AI Engineer)

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Showing results 1-20

Patterned Learning Ai information

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 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 popular job titles related to Patterned Learning Ai jobs in Washington? For Patterned Learning Ai jobs in Washington, the most frequently searched job titles are:
Infographic showing various Patterned Learning Ai job openings in Washington as of June 2026, with employment types broken down into 28% Full Time, 64% Part Time, and 8% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.
Sr. Exploitation Specialist/Data Scientist (TS/SCI)

Sr. Exploitation Specialist/Data Scientist (TS/SCI)

Culmen International LLC

Springfield, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Job description

About the Role
HOT JOB - IMMEDIATE OPENING!!!
MUST HAVE ACTIVE TS / SCI GOVERNMENT CLEARANCE FOR THIS POSITION.
Culmen International is hiring Sr. Exploitation Specialist/Data Scientists to provide support on-site at the National Geospatial-Intelligence Agency (NGA) in Springfield, VA.
The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and Management Services to enhance product and asset management of content enabling rapid creation of discoverable, modular, web enabled, and visually enriched Geospatial Intelligence (GEOINT) products for intelligence producers in NGA, across the National System for Geospatial-Intelligence (NSG).
What You'll Do in Your New Role
The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).
  • Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
  • Lead and participate in the design of solutions and refinement of pre-existing processes
  • Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
  • Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
  • Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers
  • Research and implement optimization models, strategies, and methods to inform data management activities and analysis
  • Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments
  • Conduct peer reviews to improve quality of workflows, procedures, and methodologies
  • Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge

Required Qualifications
  • Requires TS/SCI Clearance with the ability to obtain a CI/Poly.
  • 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
  • Strong working knowledge and hands-on experience with Esri solutions such as Esri ArcGIS Pro, ArcGIS Online, and secure enterprise Esri portals such as Safehouse and ICGIS.
  • Senior-level proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries.
  • Demonstrated experience creating highly customized visualizations and analytic applications to meet unique operational and business requirements.
  • Demonstrated experience automating analytic and business processes using Python and related technologies.
  • Experience applying artificial intelligence and machine learning (AI/ML) techniques to structured and unstructured datasets.
  • 10+ years of relevant experience in data science, advanced analytics, machine learning, data visualization, and business analytics. A combination of experience, professional certifications, and technical training may be considered in lieu of some years of experience.
  • Experience supporting Intelligence Community operations.
  • Demonstrated experience in data mining and developing, maintaining, and manipulating databases.
  • Experience identifying and implementing system enhancements, new capabilities, concept demonstrators, and modernization initiatives.
  • Knowledge of advanced analytic methodologies and experience implementing them to support mission and business objectives.
  • Strong written and verbal communication skills with the ability to explain complex technical concepts in a clear and understandable manner.

Desired Qualifications
  • Possess Master's degree in Data Science or related technical field
  • Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
  • Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
  • Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development.
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs.
  • Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

About the Company
Culmen International is committed to enhancing international safety and security, strengthening homeland defense, advancing humanitarian missions, and optimizing government operations. With experience in over 150 countries, Culmen supports our clients to accomplish critical missions in challenging environments.
  • Exceptional Medical/Dental/Vision Insurance, premiums for employees are 100% paid by Culmen,
    and dependent coverage is available at a nominal rate (including same or opposite sex domestic partners)
  • 401k - Vested immediately and 4% match
  • Life insurance and disability paid by the company
  • Supplemental Insurance Available
  • Opportunities for Training and Continuing Education
  • 12 Paid Holidays

To learn more about Culmen International, please visit www.culmen.com
At Culmen International, we are committed to creating and sustaining a workplace that upholds the principles of Equal Employment Opportunity (EEO). We believe in the importance of fair treatment and equal access to opportunities for all employees and applicants. Our commitment to these principles is unwavering across all our operations worldwide.