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Patterned Learning Ai Jobs in Maryland (NOW HIRING)

... 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 ...

Extensive hands-on experience architecting modern AI solutions using the appropriate combination of traditional machine learning, NLU and NLP, retrieval-based systems, LLMs, orchestration patterns ...

Background in machine learning, AI, or advanced analytics. * Experience managing distributed ... design patterns. * Hands-on experience with programming languages (e.g., Python, Java, C# ...

AI Platform Engineer, Senior

Laurel, MD · On-site

$104K - $142K/yr

The role involves creating and implementing end-to-end AI and machine learning solutions to address ... patterns • Experience implementing and scaling observability solutions, including APM ...

... learning, AI/BI, and analytics at scale. You will play a critical role in engineering the ... Optimize data storage and access patterns for performance and cost-efficiency. Documentation ...

... learning, AI/BI, and analytics at scale. You will play a critical role in engineering the ... Optimize data storage and access patterns for performance and cost-efficiency. Documentation ...

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Patterned Learning Ai information

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 cities in Maryland are hiring for Patterned Learning Ai jobs?

Cities in Maryland with the most Patterned Learning Ai job openings:

Infographic showing various Patterned Learning Ai job openings in Maryland as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 3% Part Time, and 1% Temporary. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

DevSecOps Engineer for Artificial Intelligence and Machine Learning (AI/ML)

General Dynamics Information Technology

Annapolis Junction, MD • On-site

Full-time

Retirement, PTO

Re-posted 27 days ago


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

88th of 226 rated it services


Job description

Share
REQ#: RQ223624Public Trust: None Requisition Type: Regular Your Impact

Own your opportunity to serve as a critical component of our nations safety and security. Make an impact by using your expertise to protect our country from threats.

Job Description

DEVSECOPS ENGINEER

The Engineer is an active participant in SAFe and Scrum development teams and meetings.
MEANINGFUL WORK AND PERSONAL IMPACT

Automate and optimize service deployments

Integrate with enterprise authentication services

Establish and Improve system monitoring while maintaining established security

protocols within development, test, and production systems.

Architect, build and maintain on premise and/or cloud infrastructure to support team

and customer initiatives

Maintain and improve existing infrastructure (build out autoscaling, support new

services, optimize for cost efficiencies/authentication/search, etc)

Administer production, staging and development environments

Manage and aggregate server logs and monitor for security and system related incidents

Monitor and analyze system performance, such as server load and resource usage

Maintain and improve existing build and deployment processes using CI/CD tools

Apply configuration management disciplines to maintain software revisions, security

patches, hardening, and documentation

Enforce best practices for security and reliability, and drive security initiatives, like

access control and vulnerability testing

Work with A&A Teams to maintain security requirements for operation of systems

Maintain up to date documentation of designs/configurations, ensuring team members

have continuity of recurring tasks

Maintain status of operations at all times: perform after actions reporting on all outages

and work with engineering teams to determine solution and root cause analysis. Present

findings to management for prioritization and tasking

Create and determine required metrics for dashboards and service health

Follow up on engineering tasks for operational solutions, and validate completion

Manage operational readiness board present at weekly meetings and determine if

development services are ready for automation based on best practices and

maintainability

Track and ensure routine operations maintenance tasks are completed in a timely

manner

Aligns to the customer's strategies

Utilizes the customer's enterprise DevSecOps pipeline

Work with other service providers to support areas of common interest


WHAT YOULL NEED TO SUCCEED
Bring your cyber expertise and drive for innovation to GDIT. The DevSecOps Engineer Principal must have:
Education: Bachelor of Arts/Bachelor of Science
Experience: 8+ years of related experience

3+ years of related systems programming experience
Technical skills:

  • Understanding of GitLab, Jenkins, ArgoCD, and other DevOps/Continuous Integrationtools for Kubernetes
  • Understanding of microservice design and architectural pattern best practices
  • Understanding of Python, Bash, and Shell scripting
  • Experience maintaining an operational environment and use of monitoring tools anddashboard interfaces (ie. Kibana, Grafana, Nagios)
  • Experience working with container images and platforms(Kubernetes/Docker/OpenShift)
  • Experience in building processes for deploying to a Kubernetes based environment usingGitlab and Helm
  • Experience using Jira and Confluence on a daily basis
  • Experience with deploying to on prem/data center infrastructure

Security clearance level: Must be able to obtain TS/SCI w/Poly
US citizenship required

On-call support may be required
Role requirements:

  • Strong problem solving and troubleshooting skills
  • Strong communication and interpersonal skills
  • Strong understanding of DevOps and software/application development processes
  • Knowledge of network technologies, common infrastructure components, load balancers, firewalls, virtual and physical infrastructure design
  • Must possess excellent time management skills and the drive to work unsupervised
  • Understanding of access management and security groups (i.e. IAM, S3 bucket, SSH,VPN, etc.)
  • Ability to write and use unit and functional testing


GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in cyber at GDIT and youll find endless opportunities to grow alongside colleagues who share your focus on defending and protecting what matters.

#Globalservices

Work Requirements
Years of Experience

8 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification
Travel Required

Less than 10%

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $161,500 - $218,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans


What General Dynamics Information Technology employees say

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US