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Applied Mathematics Internship Jobs in Decatur, GA

IntelliTrans

AI/ML Engineer

Atlanta, GA · On-site

... Mathematics, or Statistics) preferred. Experience: Minimum 2-4 years of professional experience in AI engineering, ML engineering, or applied data science (combination of internships and professional ...

IntelliTrans

AI/ML Engineer

Atlanta, GA

... Mathematics, or Statistics) preferred. Experience: Minimum 2-4 years of professional experience in AI engineering, ML engineering, or applied data science (combination of internships and professional ...

Tata Consultancy Services

Agentic AI Engineer

Atlanta, GA

$110.10K - $132.20K/yr

... Applied Math, or related field. • Strong Python programming skills (experience with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch). • Academic or internship experience in ...

Safran Defense & Space, Inc.

Engineering Intern

Norcross, GA · On-site

$15.75 - $20.50/hr

This internship is intended for an undergraduate student interested in applying engineering ... This role is well suited for a student with strong math and physics fundamentals, experience with ...

Safran Defense & Space, Inc.

Engineering Intern

Norcross, GA · On-site

$15.75 - $20.50/hr

This internship is intended for an undergraduate student interested in applying engineering ... This role is well suited for a student with strong math and physics fundamentals, experience with ...

KPMG

Senior Associate, Actuary

Atlanta, GA · On-site

... interns. • Identify and articulate technical matters to both clients and management, and ... applied statistics, financial analysis, insurance, and mathematics. • Demonstrate consistent ...

KPMG

Actuarial P&C Senior Associate

Atlanta, GA · On-site

Supervise and serve as a mentor to associates, new hires, and interns on engagements * Serve as a ... applied statistics, financial analysis, insurance, and mathematics * Ability to work on multiple ...

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Applied Mathematics Internship information

See Decatur, GA salary details

$11

$18

$33

How much do applied mathematics internship jobs pay per hour?

As of May 31, 2026, the average hourly pay for applied mathematics internship in Decatur, GA is $18.88, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $21.11 per hour, depending on experience, location, and employer.

What Are Applied Mathematics Internship Opportunities?

Applied mathematics is the use of mathematical formulas and methods to solve real-world problems and develop innovations. It is used in many different industries, including computer science, biological science, engineering, aeronautics, and business. Applied mathematics internships are typically open to students majoring in or who have graduated with a degree in applied mathematics and plan to pursue a career utilizing their training. Research institutes often offer these internships, but you can also find them at companies that use significant amounts of math in their day-to-day activities. Your specific job duties vary, depending on the company and industry, but you are usually paired up with a professional in the field to learn more about how applied mathematics is utilized. Most of these internships occur over the summer, though some companies offer internships year-round.

What are the key skills and qualifications needed to thrive as an Applied Mathematics Intern, and why are they important?

To thrive as an Applied Mathematics Intern, you need a solid background in mathematics, statistics, and problem-solving skills, often supported by current enrollment in or completion of a relevant degree program. Familiarity with tools such as MATLAB, Python, R, and statistical software is typically required, along with experience using data analysis and modeling systems. Strong analytical thinking, attention to detail, and effective communication are vital soft skills for collaborating with teams and presenting complex findings. These skills and qualifications are crucial for solving real-world problems, contributing to research projects, and translating mathematical concepts into actionable solutions.

What types of projects can I expect to work on during an Applied Mathematics Internship?

During an Applied Mathematics Internship, you’ll typically work on projects involving data analysis, mathematical modeling, or algorithm development to solve real-world problems. Interns often collaborate closely with teams in engineering, data science, or research, contributing to tasks such as optimizing business processes, analyzing large datasets, or creating simulations. The work environment is usually highly collaborative and may require presenting your findings to both technical and non-technical stakeholders. These projects help interns develop practical skills and gain exposure to diverse applications of mathematics in industry.

What is an applied mathematics internship?

An applied mathematics internship is a temporary position where students or recent graduates work with organizations to apply mathematical theories and techniques to solve real-world problems. Interns typically assist in data analysis, modeling, simulations, or algorithm development in fields like finance, engineering, technology, or research. These internships provide valuable hands-on experience, help build professional networks, and often enhance job prospects after graduation.
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Applied Mathematics Internship jobs near you
AI/ML Engineer

AI/ML Engineer

IntelliTrans

Atlanta, GA • On-site

Full-time

Posted 26 days ago

Job description

IntelliTrans, (ITL), a subsidiary of Roper Technologies, Inc. (NYSE: ROP) is seeking an Applied AI Engineer to join our team, hybrid in Atlanta, GA.
Position Summary: The Applied AI Engineer a key member of the AI and Data Science Team, responsible for designing, developing, and deploying production AI/ML systems that power IntelliTrans' intelligent freight management platform. This role blends applied AI engineering with data science fundamentals, including building and evaluating agentic AI systems, developing LLM-powered features, designing ML pipelines, and creating intelligent automation workflows. The ideal candidate is comfortable operating across the full spectrum from exploratory data analysis to production AI system deployment and is energized by applying AI to real-world logistics challenges.
Essential Duties and Responsibilities:
AI/ML Engineering and Agentic AI
  • Design, build, and evaluate agentic AI systems using Agentic AI platforms and related frameworks for freight management use cases (e.g., shipment exception handling, real time visibility, ETA intelligence).
  • Develop and optimize LLM-powered features, including prompt engineering, Retrieval-Augmented Generation (RAG) pipelines, and tool-calling agents integrated into workflows
  • Build and maintain ML model evaluation frameworks with structured metrics, AI-assisted judges, and human feedback loops modern frameworks and DB Catalog tools
  • Contribute to developing browser automation + AI hybrid systems, including data extraction pipelines using Playwright and Claude.

Data Science and Analytics
  • Analyze complex, large-scale freight and logistics datasets to generate actionable business insights for internal stakeholders and customers.
  • Develop and maintain predictive models for supply chain KPIs, including ETA prediction, freight audit anomaly detection, and shipment pattern analysis.
  • Support IntelliTrans' data streaming strategy by designing data pipelines and feature engineering workflows that bridge the System of Record and System of Intelligence layers.
  • Build and iterate on dashboards and analytical tools using SQL, Analytics, and supporting visualization platforms.

Platform and Infrastructure
  • Develop production-grade Python services (FastAPI, async patterns) that integrate ML models and AI agents into the IntelliTrans platform.
  • Collaborate with the architecture team on AWS cloud infrastructure (ECS Fargate, SQS, S3, CloudWatch, Terraform) for model deployment and agent runtime scaling.
  • Contribute to CI/CD pipelines, observability instrumentation (OpenTelemetry, structlog), and MLOps best practices for model lifecycle management.

Collaboration and Strategy
  • Partner with Product Management to translate the AI agent roadmap into technical specifications and delivery plans aligned with IntelliTrans' 3-5 year data and AI strategy.
  • Use modern Code Assistance tools such as Claude Code to write software.
  • Effectively handle multiple projects simultaneously in a deadline-driven environment.

QUALIFICATIONS AND BACKGROUND
Education: Bachelor's degree in Computer Science, Data Science, Machine Learning, Applied Mathematics, or related discipline required. Master's degree in a quantitative field (Data Science, AI/ML, Engineering, Mathematics, or Statistics) preferred.
Experience: Minimum 2-4 years of professional experience in AI engineering, ML engineering, or applied data science (combination of internships and professional experience considered).
  • Demonstrated experience building and deploying AI systems, ML models, or LLM-powered applications in a production environment.
  • Experience with modern data platforms, preferably Databricks (Delta Lake, MLflow, Unity Catalog) or equivalent (Snowflake, AWS SageMaker).
  • Experience in supply chain, logistics, freight management, or transportation technology is strongly preferred.
  • Hands-on experience with agentic AI concepts, LLM integration patterns, or RAG architecture is preferred.

Desired Skills:
  • Strong proficiency in Python, including experience with FastAPI, pandas, scikit-learn, and async programming patterns.
  • Solid working knowledge of SQL and experience with relational databases (PostgreSQL preferred, Oracle experience a plus).
  • Experience with cloud platforms, primarily AWS (ECS, S3, SQS, Lambda, CloudWatch, Bedrock).
  • Familiarity with ML experiment tracking, model versioning, and MLOps workflows (MLflow preferred).
  • Proficiency with approaches to statistical analysis, mathematical modeling, and data visualization.
  • Experience creating and deploying AI Agents to production using Agentic Libraries and platforms
  • Knowledge of Infrastructure as Code (Terraform), containerization (Docker), and CI/CD pipelines (GitLab).
  • Experience with observability tools (OpenTelemetry, CloudWatch, structlog) for production ML systems.
  • Familiarity with document intelligence, and multimodal AI capabilities.

Soft Skills:
  • Strong analytical and problem-solving abilities with the capacity to operate across ambiguity.
  • Excellent communication skills, including the ability to present complex technical results to executive and non-technical audiences.
  • Self-directed learner comfortable rapidly adopting emerging AI/ML technologies and frameworks.
  • Collaborative mindset suited to cross-functional, agile team environments.
  • Intellectual curiosity about logistics, supply chain, and freight management domain problems.

Additional Information:
Location:
Atlanta, Georgia (Hybrid)
Reports To:
Data Science Manager
Team:
AI and Data Science Team (cross-functional: developers, architects, data scientists, scrum master, DBA)
Methodology:
Agile / Scrum with PI Planning cadence
Key Tools:
Databricks, Python, AWS, Claude API, FastAPI, Playwright, MLflow, Terraform, Docker, GitLab, SageMaker
IntelliTrans supports workforce diversity and is a committed equal opportunity. / Affirmative action employer.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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