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

This individual will help design and develop centralized, searchable, and secure data environments while applying AI/ML, machine learning, computer vision, pattern recognition, and predictive ...

Data Scientist

Washington, DC · On-site

$150 - $230/hr

This individual will help design and develop centralized, searchable, and secure data environments while applying AI/ML, machine learning, computer vision, pattern recognition, and predictive ...

This individual will help design and develop centralized, searchable, and secure data environments while applying AI/ML, machine learning, computer vision, pattern recognition, and predictive ...

New

This individual will help design and develop centralized, searchable, and secure data environments while applying AI/ML, machine learning, computer vision, pattern recognition, and predictive ...

AI / Machine Learning Engineer

Mclean, VA · On-site

$140 - $190/hr

/AI / Machine Learning Engineer# AI / Machine Learning EngineerCyberMedia TechnologiesMcLean, USFull ... driven patterns to ensure accuracy, auditability, and compliance in complex decision-making ...

... patterns. During the 90-day period, the candidate will have the opportunity to demonstrate their technical ability, communication skills, learning speed, initiative, and alignment with HCIactive's AI ...

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

Showing results 21-40

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.

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.

Senior Data Science Product Manager

Axiologic Solutions LLC

Springfield, VA

$185/hr

Full-time

Posted 7 days ago


Job description

Based in Northern Virginia, Axiologic Solutions LLC, has an opportunity for you to become part of our high-quality team that delivers innovative solutions to key federal clients. We are currently seeking a Senior Data Science Product Manager to support our growing team.

Position Overview:

The Senior Level Product Manager/Data Science for the customer's AI/ML Program plays a critical role in the intersection of technology and strategy. This individual will operate at the forefront of AI and deep learning technologies, championing transformational changes within the Digital Intelligence Environment (DIE) of our customer.

Responsibilities:

  • Analyze large amounts of data to find patterns and recommend solutions that will improve the clients' capabilities. Work will require working in teams to solve large, complex problems to achieve interrelated and interdependent objectives.
  • Identify valuable data sources and automate mining/collection processes. Undertake preprocessing of structured and unstructured data.
  • Analyze large amounts of data/information to discover and articulate trends and patterns.
  • Provide strategic insight and advice concerning the direction and applicability of industry-standard solutions.
  • Offer specialized expertise to facilitate the development of comprehensive methods for defining present and future strategic product milestones.
  • Monitor all facets of product performance, and assist in the formulation of long-term plans.
  • Utilize industry-specific knowledge to evaluate an organization's operational and functional baseline.
  • Participate actively in account strategy sessions, strategic assessments, and design reviews to validate enterprise approaches and associated work products.
  • Stay abreast of developments within their field of expertise and apply them to the client environment, encompassing emerging technologies, lessons learned, best practices, and assessment methodologies.
  • Serve as an interface connecting stakeholders, users, and the development team. Attend industry and government events to discuss technical details related to the customer's AI/ML program.
  • Engage with users and customers to discern and comprehend their underlying needs.
  • Collaborate with both internal and external stakeholders, including product and program managers, to formulate a product vision and roadmap that aligns with the NGA AI/ML Program's objectives.
  • Work in close coordination with software engineering teams to fulfill user needs and construct user experiences that meet the standards expected by the Intelligence Community, Department of Defense (DoD), and government workforce.
  • Support the entire product development lifecycle, from conceptualization and design to implementation and evaluation, particularly for moderately complex product development efforts.
  • Effectively communicate, educate, and advocate the vision and goals of new products, both internally and externally.

 Required:

  • Bachelor's degree in a relevant field such as Computer Science, Math, Engineering, Information Technology, Business, or a related discipline.
  • Active TS/SCI CI or TS/SCI with ability to obtain a CI if required by customer.
  • Critical thinkers that are comfortable supporting collaborative problem solving in a team environment
  • Agile/scrum experience, and familiarity with Agile methodologies or certifications, such as Scrum Master
  • Has working knowledge of multiple programming languages and statistical packages, as well as knowledge of dataset tools and Artificial Intelligence/Machine Learning (AI/ML)
  • Analytical and problem-solving skills, with the ability to use data and metrics to drive product decisions.
  • 6+ months of experience in AI space
  • Adaptive Learning & AI Curiosity: The candidate should possess a relentless passion for learning and self-improvement, particularly in the AI domain. They should demonstrate a proven track record of proactively seeking out new knowledge, adapting to the ever-evolving landscape of artificial intelligence, and applying fresh insights to their work. Familiarity with the latest AI research, participation in relevant courses or workshops, and a willingness to pivot in response to new technological advancements are essential.

Desired:

  • Relevant certifications or additional education in Product Management, Project Management, or a related field are a plus.
  • Lead high-performing teams delivering IT solutions.
  • AI/ML Familiarity, an understanding of AI/ML concepts, algorithms, and current trends.
  • Cross-functional collaboration, experience working with diverse teams, such as data scientists, engineers, vendors, and military professionals.
  • Experience working in a joint military environment.
  • A Master's Degree in a relevant field such as Computer Science, Math, Engineering, Information Technology, Business, or a related discipline

Salary Range - $185-200K 

Employment Type: full-time