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Internship Machine Learning R Jobs in Woodstock, GA

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Python, R, or SAS * Experience with data mining techniques for large-scale datasets, including both ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Python, R, or SAS * Experience with data mining techniques for large-scale datasets, including both ...

r2 Technologies, Inc.

AI & ML engineer

Atlanta, GA

Proven experience as a machine learning engineer or similar role * Familiarity with Python, Java, and R * Excellent communication and collaboration skills * Innovative mind with a passion for ...

Prophecy Technologies

Data Scientist

Atlanta, GA · On-site

... and R programming languages, as well as experience with big data ecosystems, cloud computing, and machine learning techniques. Key Responsibilities: * Design and implement predictive models and ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

Proficiency in Python, R, or Julia * Strong understanding of machine learning algorithms and their applications * Experience with SQL and database querying * Experience with data visualization tools ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · Hybrid

Following the machine learning lifecycle, the data scientist should be able to convert the results ... R, and Hadoop. * Extensive experience with data wrangling, feature engineering, and model ...

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All JobsInternship Machine Learning R JobsInternship Machine Learning R Jobs in Woodstock, GA

Internship Machine Learning R information

See Woodstock, GA salary details

$23K

$38.4K

$79.3K

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

As of Jun 18, 2026, the average yearly pay for internship machine learning r in Woodstock, GA is $38,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,300.00 and $41,500.00 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.

What cities near Woodstock, GA are hiring for Internship Machine Learning R jobs? Cities near Woodstock, GA with the most Internship Machine Learning R job openings:
Internship Machine Learning R jobs near you
Infographic showing various Internship Machine Learning R job openings in Woodstock, GA as of June 2026, with employment types broken down into 2% Internship, 2% As Needed, 64% Full Time, 24% Part Time, and 8% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $38,396 per year, or $18.5 per hour.

Machine Learning Engineer 3 4P/392

4P Consulting Inc

Atlanta, GA

Other

Posted yesterday

Job description

Machine Learning Engineer 3 (AI Engineer)
Location: Atlanta, GA
Client- Southern Comapny Gas
Contract- 1 Year
Job Summary
We are seeking a highly skilled Machine Learning Engineer (Level 3) with 5-10 years of experience to design, develop, and deploy advanced AI models and systems. This role requires expertise in machine learning, data analysis, and model deployment to optimize business operations and drive innovation within the utilities and energy sector.
The successful candidate will collaborate with cross-functional teams-including data scientists, engineers, and business stakeholders-to integrate AI solutions into real-world applications that support operational efficiency, customer service, and sustainability initiatives.
Key Responsibilities
  • AI Model Development: Design and implement machine learning models and algorithms to address utility-specific challenges such as grid optimization, asset reliability, predictive maintenance, and customer analytics.
  • Data Analysis: Analyze large, complex datasets from SCADA, AMI, and IoT systems to extract actionable insights.
  • Model Training & Evaluation: Train, test, and validate AI models to ensure accuracy, scalability, and compliance with industry reliability standards.
  • Deployment & Integration: Deploy AI solutions into production systems and integrate with enterprise platforms (e.g., Azure, Maximo, EMS/DMS systems).
  • Innovation: Stay current with the latest advancements in AI/ML and recommend solutions that can enhance grid resilience, safety, and efficiency.
  • Collaboration: Partner with engineering, IT, and business units to define requirements and deliver business-aligned AI solutions.
  • Performance Monitoring: Continuously monitor AI models and refine as needed to maintain performance and compliance.
  • Documentation & Knowledge Sharing: Create clear documentation of models, workflows, and processes for reuse and compliance.
Qualifications
Education:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
Experience:
  • 5-10 years of experience in AI, ML, or data science roles, with proven success in AI model development and deployment.
  • Industry experience in utilities, energy, or large-scale infrastructure data is preferred.
Technical Skills:
  • Proficiency in Python, R, or Java.
  • Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn.
  • Strong grasp of data structures, algorithms, and applied statistics.
  • Familiarity with cloud platforms such as Azure ML and Azure Databricks (preferred), AWS or Google Cloud (a plus).
  • Experience with big data tools (e.g., Spark, Hadoop) is desirable.
  • Exposure to natural language processing (NLP) or computer vision a plus.
Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Excellent communication skills for cross-functional collaboration.
  • Ability to work independently and manage multiple projects simultaneously.
  • Experience working in agile or iterative development environments.
Preferred Qualifications
  • Lighting up AI/ML use cases in the utility/energy sector (e.g., outage prediction, DERMS optimization, vegetation management analytics).
  • Certifications in AI/ML, data science, or cloud platforms (Azure, AWS, GCP).
  • Experience with MLOps pipelines and CI/CD integration for model deployment.

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