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Internship Machine Learning R Jobs in Lemont, IL

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

Proficiency in Python, Java, or R, Golang * Machine Learning Frameworks : Expertise in tools and libraries like TensorFlow, PyTorch, and scikit-learn . * Concepts: Deep understanding of machine ...

Stripe

PhD Data Scientist, Intern

Chicago, IL · On-site

$143K - $156K/yr

We're looking for data scientists with a passion for analyzing data, building machine learning and ... Our internship program provides the opportunity to work on meaningful business initiatives that ...

Zimmerman Advertising

Data Scientist

Chicago, IL · On-site

Develop and maintain continuous integration and delivery pipelines for machine learning models ... Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn ...

Vizient, Inc.

Lead Data Scientist

Chicago, IL · On-site

$117K - $206K/yr

Lead the design and implementation of advanced machine learning, generative AI, statistical ... Analyze large-scale, high-dimensional datasets using Python, R, SQL, and distributed computing ...

Vizient

Lead Data Scientist

Chicago, IL · On-site

$117K - $206K/yr

Lead the design and implementation of advanced machine learning, generative AI, statistical ... Analyze large-scale, high-dimensional datasets using Python, R, SQL, and distributed computing ...

Vizient

Lead Data Scientist

Chicago, IL · On-site

$117K - $206K/yr

Lead the design and implementation of advanced machine learning, generative AI, statistical ... Analyze large-scale, high-dimensional datasets using Python, R, SQL, and distributed computing ...

The Hartford

Data Scientist

Chicago, IL · On-site +1

$90K - $135K/yr

Think creatively to envision how we can enhance long-standing actuarial methodology using statistical modeling and machine learning techniques * Use R and/or Python to build, maintain, and support ...

Saxon Global

BI Analytics Engineer

Chicago, IL · On-site

$52.50 - $68.25/hr

Secure data sharing · Advanced SQL skills. · Proficiency in Python or R for analytics and ML development. · Hands-on experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch ...

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Internship Machine Learning R information

See Lemont, IL salary details

$25.7K

$42.9K

$88.7K

How much do internship machine learning r jobs pay per year?

As of Jun 4, 2026, the average yearly pay for internship machine learning r in Lemont, IL is $42,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $46,400.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning R vs Data Analyst Intern?

AspectInternship Machine Learning RData Analyst Intern
Required SkillsProficiency in R, basic machine learning concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
Work EnvironmentResearch labs, tech companies, startups focusing on AI/ML projectsBusiness environments, consulting firms, marketing agencies
Industry UsagePrimarily in tech, AI, and data science sectorsAcross various industries including finance, marketing, and healthcare

Internship Machine Learning R focuses on applying R programming to develop machine learning models, often in tech and AI sectors. In contrast, Data Analyst Internships emphasize data visualization, statistical analysis, and reporting across diverse industries. Both roles require data handling skills but differ in their focus on machine learning versus data interpretation.

Internship Machine Learning R jobs near you
AI/ML Engineer

AI/ML Engineer

Resource Point LLC

Chicago, IL • On-site

Contractor

Posted 2 hours ago

Job description

Position: AI/ML Engineer

Duration: 12 months

Location: Chicago, IL

Job Description

An AI/ML Engineer designs, develops, and deploys production-ready artificial intelligence and machine learning models and systems, managing data pipelines, running experiments, and training models using programming languages like Python and frameworks such as TensorFlow and PyTorch. This role requires strong technical skills in machine learning, programming, and algorithms, as well as effective collaboration with data scientists, software developers, and business stakeholders to align AI solutions with organizational goals.

Key Responsibilities

  • Model Development: Research, design, and implement machine learning algorithms and applications to solve business problems.
  • Data Pipeline Management: Build and manage scalable data pipelines for preprocessing, feature engineering, and data flow to train and evaluate ML models.
  • Model Training and Deployment: Train, test, and tune machine learning models, ensuring they meet quality standards and deploying them into production environments.
  • Performance Monitoring and Optimization: Monitor the performance of trained models, retrain them as needed, and optimize them for better performance.
  • Collaboration: Work with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI into applications and achieve project goals.
  • Stay Updated: Keep abreast of emerging AI and machine learning technologies and best practices to enhance institutional capabilities.

Required Skills & Qualifications

  • Programming Languages: Proficiency in Python, Java, or R, Golang
  • Machine Learning Frameworks: Expertise in tools and libraries like TensorFlow, PyTorch, and scikit-learn.
  • Concepts: Deep understanding of machine learning, deep learning, data mining, algorithms, and computer vision.
  • Tools: Familiarity with Git for version control and cloud platforms for scalable solutions.
  • Soft Skills: 
  • Collaboration: Ability to work effectively in multidisciplinary teams.
  • Communication: Excellent communication skills to explain complex technical concepts to both technical and non-technical stakeholders. 
  • Problem-Solving: Strong analytical and problem-solving skills to design and implement effective AI solutions.