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Python Coding Internship Jobs in Atlanta, GA (NOW HIRING)

IntelliTrans

Applied AI Engineer

Atlanta, GA · On-site

Develop production-grade Python services (FastAPI, async patterns) that integrate ML models and AI ... Use modern Code Assistance tools such as Claude Code to write software. * Effectively handle ...

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Python Coding Internship information

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How much do python coding internship jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for python coding internship in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Coding Intern, and why are they important?

To thrive as a Python Coding Intern, you need a solid understanding of Python programming fundamentals, problem-solving abilities, and a background in computer science or a related field. Familiarity with version control systems like Git, code editors such as VS Code, and basic knowledge of frameworks like Flask or Django is often expected. Strong communication, eagerness to learn, and teamwork are soft skills that help interns collaborate effectively and adapt quickly. These skills and qualities are crucial for contributing to projects, learning from mentors, and building a foundation for a successful software development career.

What is the difference between Python Coding Internship vs Python Developer?

AspectPython Coding InternshipPython Developer
Required CredentialsTypically pursuing or recently completed a degree in CS or related fieldProfessional experience, often with a degree or certifications in Python or software development
Work EnvironmentInternship programs, entry-level projects, supervised settingsFull-time employment, collaborative teams, project ownership
Employer & Industry UsageTech companies, startups, educational institutionsTech firms, software companies, enterprise environments
Search & Comparison IntentLooking for entry-level Python roles or internshipsSeeking professional Python development roles

The main difference between a Python Coding Internship and a Python Developer role lies in experience level, responsibilities, and work environment. Internships are designed for students or recent graduates gaining initial exposure, often with supervised tasks. Python Developers are experienced professionals managing complex projects independently. Both roles are essential in the Python ecosystem, but they serve different career stages and expectations.

What types of projects can I expect to work on during a Python Coding Internship?

As a Python Coding Intern, you will likely be assigned to real-world projects that help build your programming skills and exposure to industry practices. These projects often range from developing automation scripts, data analysis tools, or web applications to assisting in quality assurance and debugging tasks. You may work independently on small assignments or collaborate with experienced developers on larger features. This hands-on experience not only strengthens your technical skills but also helps you learn teamwork, version control, and agile development methods commonly used in professional environments.

What is a Python Coding Internship?

A Python Coding Internship is a temporary position designed for students or recent graduates to gain practical experience in programming with Python. Interns typically work on real-world projects, assist with software development tasks, and learn from experienced developers. The internship provides hands-on exposure to coding, debugging, and using Python libraries and frameworks. It is an excellent opportunity to build technical skills, enhance your resume, and network within the tech industry.
What are the most commonly searched types of Python Coding jobs in Atlanta, GA? The most popular types of Python Coding jobs in Atlanta, GA are:
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Python Coding Internship jobs near you
Applied AI Engineer

Applied AI Engineer

IntelliTrans

Atlanta, GA • On-site

Full-time

Re-posted 4 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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