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Internship R Programming Language Jobs in Charlotte, NC

K-Tek Resourcing LLC

AI/ML Lead

Charlotte, NC

Design, develop, and implement AI/ML applications, focusing on large language models (LLMs) and their integration into existing systems. * Utilize programming languages such as Python, R, or Java to ...

Duke Health

Exercise Physiologist

Mooresville, NC · On-site

... programming multiple co-morbidities. * Responsible for exercise prescription development for all patient populations * Mentor and lead others in thedepartment (employees and interns) * Direct ...

Duke University

Exercise Physiologist

Mooresville, NC · On-site

... programming multiple co-morbidities. * Responsible for exercise prescription development for all patient populations * Mentor and lead others in thedepartment (employees and interns) * Direct ...

Duke Health

Exercise Physiologist

Mooresville, NC · On-site

... programming multiple co-morbidities. * Responsible for exercise prescription development for all patient populations * Mentor and lead others in thedepartment (employees and interns) * Direct ...

Infosys

Gen AI Engineer

Charlotte, NC · On-site

... R/ Python. • Participate in defining analytics problems; execute visualization, analysis, and ... Required : • Experience in Generative AI and Large Language Models (LLMs) • Hands-on experience ...

CYNET SYSTEMS

Data Scientist

Charlotte, NC · On-site

$65/hr

Perform data collection, cleaning, and feature engineering to prepare datasets for modeling ... Develop predictive models and statistical analyses using Python, R, or similar tools. * Deploy ...

Infosys

Gen AI Solution Engineer

Charlotte, NC · On-site

... like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning ... language models, speech and audio models, and image or video generation. • Familiarity with DevOp ...

VHB

Data Analytics Intern - Summer 2026

Charlotte, NC · Hybrid

$19 - $30/hr

Familiarity with statistical or programming tools such as R or Python. * Experience working with ... VHB does not provide housing for internships. Our best estimate of the hourly salary range for this ...

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

As of Jun 5, 2026, the average hourly pay for internship r programming language in Charlotte, NC is $16.90, according to ZipRecruiter salary data. Most workers in this role earn between $14.09 and $18.80 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 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 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 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.
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Internship R Programming Language jobs near you
AI/ML Lead

AI/ML Lead

K-Tek Resourcing LLC

Charlotte, NC

Other

Posted 24 days ago

Job description

Job Summary:
We are seeking a highly skilled Software Development Engineer with a strong focus on AI and Machine Learning (ML) to join our dynamic team. The ideal candidate will possess exceptional engineering skills in AI/ML, with a proven track record of implementing and customizing advanced models. This role requires a deep understanding of software development best practices and the ability to work collaboratively in a fast-paced environment.
Responsibilities:
  • Design, develop, and implement AI/ML applications, focusing on large language models (LLMs) and their integration into existing systems.
  • Utilize programming languages such as Python, R, or Java to create robust and scalable software solutions.
  • Customize and optimize prebuilt models like GPT, BERT, and DALL-E for specific use cases.
  • Architect and design LLM-based applications, ensuring high performance and reliability.
  • Implement MLOps practices using tools such as Langchain, Llama Index, and Ragas to streamline model deployment and monitoring.
  • Develop and maintain applications utilizing natural language processing (NLP) and computer vision technologies.
  • Collaborate with cross-functional teams to define project requirements and deliver high-quality software solutions.
  • Contribute to research initiatives in AI/ML, including publishing papers and presenting at conferences.
  • Stay updated with the latest trends and advancements in AI/ML technologies and methodologies.
Mandatory Skills:
  • Strong AI/ML lead engineering skills with a focus on implementation.
  • Proficiency in programming languages such as Python, R, or Java.
  • Deep understanding of deep learning frameworks including TensorFlow, PyTorch, or Keras.
  • Experience in customizing and deploying prebuilt models like GPT, BERT, and DALL-E.
  • Knowledge of MLOps tools and practices.
  • Experience with cloud platforms (AWS, Google Cloud Platform, Azure) and containerization technologies (Docker, Kubernetes).
  • Familiarity with relevant cloud services such as Amazon Bedrock, SageMaker, and Google Vertex.AI.
  • Strong problem-solving skills and the ability to work independently as well as in a team environment.
  • Excellent written and verbal communication skills.
Preferred Skills:
  • Experience with AI/ML APIs and services (e.g., Google Cloud AI, Azure AI Services, AWS SageMaker).
  • Knowledge of software development best practices and agile methodologies.
  • Contributions to AI/ML research, including published papers and conference presentations.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Demonstrated ability to lead AI/ML projects from conception to deployment.
  • Strong analytical skills and a passion for technology and innovation.

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