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Internship R Programming Language Jobs in Germantown, MD

Air

Implementation Engineer

Arlington, VA

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and ... or internships, performing national security-related analytics; preference for research ...

Air

Implementation Engineer

Arlington, VA · On-site

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and ... or internships, performing national security-related analytics; preference for research ...

Air

Implementation Engineer

Arlington, VA · On-site

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and ... or internships, performing national security-related analytics; preference for research ...

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All JobsR Programming Language JobsInternship R Programming Language JobsInternship R Programming Language Jobs in Germantown, MD

Internship R Programming Language information

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How much do internship r programming language jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for internship r programming language in Germantown, MD is $17.49, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.42 per hour, depending on experience, location, and employer.

What is an internship in R programming language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What types of projects or tasks can I expect to work on during an R programming language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.

What are the key skills and qualifications needed to thrive as an R programming language intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What are popular job titles related to Internship R Programming Language jobs in Germantown, MD?

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What job categories do people searching Internship R Programming Language jobs in Germantown, MD look for?

The top searched job categories for Internship R Programming Language jobs in Germantown, MD are:

What cities near Germantown, MD are hiring for Internship R Programming Language jobs?

Cities near Germantown, MD with the most Internship R Programming Language job openings:

Internship R Programming Language jobs near you

Senior AI/ML Developer/Engineer

Info Gain Consulting

Mclean, VA • On-site

$123K - $163K/yr

Full-time

Posted 26 days ago

Job description

Position summary
IGC is seeking a Senior AI/ML Developer/Engineer to design, build, deploy, and sustain machine-learning models and AI-enabled applications for a prospective federal artificial intelligence engineering program supporting a federal customer. You will move models from concept to production across approved enterprise cloud and technology platforms and collaborate closely with data scientists, software engineers, security personnel, and product teams.
This is a hands-on senior engineering role requiring strong applied machine-learning skills, disciplined engineering practices, and the ability to deliver reliable, secure, accessible, and maintainable solutions in a structured, collaborative government-contractor environment.
Key responsibilities
  • Design and develop machine-learning models, algorithms, and AI-enabled applications.
  • Implement, integrate, optimize, deploy, and sustain AI and machine-learning solutions.
  • Work with data scientists, software engineers, cloud engineers, security personnel, and product teams to move models into production.
  • Analyze large and complex datasets and produce actionable insights.
  • Conduct data preprocessing, feature engineering, statistical analysis, model selection, training, testing, validation, and evaluation.
  • Tune and improve model performance, reliability, accuracy, scalability, and maintainability.
  • Evaluate emerging developments in AI and machine learning and recommend appropriate customer-approved uses.
  • Maintain strong knowledge of machine-learning algorithms, design patterns, evaluation methods, and engineering principles.
  • Create and maintain complete documentation for AI and machine-learning models, datasets, experiments, configurations, assumptions, evaluation results, performance metrics, limitations, decisions, and operating procedures.
  • Work with deep-learning frameworks.
  • Develop using Python and, where applicable, R, JavaScript, or other approved languages.
  • Use Terraform or comparable customer-approved infrastructure-as-code practices.
  • Develop and manage CI/CD pipelines and Git-based source-code management.
  • Integrate logging, monitoring, tracing, metrics, alerting, and other observability capabilities into AI engineering efforts.
  • Develop or integrate generative-AI, large-language-model, RAG, chatbot, document-processing, predictive-modeling, anomaly-detection, forecasting, or workflow-automation solutions.
  • Develop AI-enabled interfaces and outputs that meet applicable Section 508 accessibility requirements, and participate in accessibility validation during applicable development iterations and releases.
  • Support model monitoring, model-drift detection, responsible-AI controls, testing, security, privacy, access control, and production operations.
  • Support onboarding or refactoring of existing AI applications into approved enterprise environments.
  • Contribute to technical standards, reusable patterns, architecture documentation, operating procedures, test plans, and user guidance.
  • Participate in Agile planning, reviews, demonstrations, retrospectives, and production-support activities.

Required qualifications
  • Minimum of five years of relevant professional experience in AI engineering, machine learning, data science, or production software engineering.
  • Demonstrated expertise in current artificial intelligence and machine-learning technologies, emerging techniques, model-development practices, and production AI engineering.
  • Demonstrated experience designing and developing machine-learning models and algorithms.
  • Experience implementing and optimizing AI or ML solutions and integrating models into production systems.
  • Experience analyzing large and complex datasets.
  • Experience developing, evaluating, tuning, and improving model performance and accuracy.
  • Strong knowledge of machine-learning algorithms and principles.
  • Experience documenting models, experiments, processes, and performance metrics.
  • Familiarity with one or more deep-learning frameworks.
  • Strong proficiency in Python, R, JavaScript, or another programming language used for production artificial intelligence and machine-learning development. Python proficiency is strongly preferred.
  • Experience with Terraform or comparable infrastructure-as-code technology.
  • Experience implementing or managing CI/CD pipelines.
  • Experience with Git-based code management, branching, pull requests, reviews, and release controls.
  • Experience integrating observability tools into AI or ML systems.
  • Hands-on experience developing or integrating front-end, back-end, and full-stack application components used to operationalize AI and machine-learning solutions.
  • Knowledge of HTML and CSS and front-end development practices supporting UI and UX, including front-end JavaScript and libraries such as React.
  • Prototyping experience and visual communication skills.
  • Knowledge of Section 508 accessibility requirements and accessible technology delivery.
  • Testing and debugging experience, including familiarity with development tools used to evaluate application performance, usability, and page speed.
  • Experience with DevOps, cloud computing, infrastructure, web development, and software architecture.
  • Ability to work within Agile development and delivery environments and to collaborate with product owners, technical teams, security personnel, data specialists, and federal stakeholders rather than in isolation.
  • Bachelor's or master's degree in computer science, artificial intelligence, machine learning, software engineering, data science, or a closely related technical field.

Preferred qualifications
  • Ten or more years of relevant experience.
  • Master's degree in a relevant technical field.
  • Experience with Azure AI services, Azure Machine Learning, Azure OpenAI, Azure AI Foundry, AWS SageMaker, GCP Vertex AI, or comparable approved cloud AI platforms.
  • Experience developing RAG solutions, chatbots, document intelligence, translation, summarization, predictive analytics, fraud or anomaly detection, or optimization models.
  • Experience with MLOps, model registries, experiment tracking, model monitoring, responsible AI, prompt evaluation, or LLM evaluation.
  • Experience with FedRAMP-authorized cloud or SaaS environments.
  • Federal security, privacy, ATO, CUI, Section 508, or NIST experience.
  • Relevant Azure, AWS, GCP, machine-learning, data-science, security, or DevOps certifications.

Security and employment conditions
  • U.S. citizenship is required.
  • Ability to obtain and maintain a favorably adjudicated federal public-trust suitability determination before entry on duty, unless the customer formally grants temporary eligibility under its applicable procedures.
  • Ability to complete and maintain all required federal training, including security awareness, privacy, unauthorized-disclosure training, controlled unclassified information (CUI), sensitive information and For Official Use Only (FOUO) safeguarding, rules of behavior, operational security (OPSEC), insider threat, and nondisclosure requirements.
  • Ability to comply with applicable federal security, privacy, access-control, acceptable-use, and information-protection requirements.

Work location and schedule
  • This role is primarily remote, with occasional attendance at customer sites in the Washington, DC and Northern Virginia region when required.
  • Standard working hours are generally 8:00 a.m. to 4:30 p.m. Eastern Time, Monday through Friday, excluding federal holidays. Occasional work outside normal hours, including evenings, weekends, or holidays, may be required.

Application instructions
To apply, submit your resume through this posting, including a brief summary of your relevant experience and how it maps to the qualifications above.
Reasonable accommodations are available upon request for candidates who need them to participate in the hiring process.
Equal employment opportunity
IGC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other status protected by applicable law.
Employment is contingent upon contract award and completion of all applicable suitability, verification, and customer-approval requirements.

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