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Internship Aws Python Developer Jobs in Wilmington, NC

Danaher

Software Engineer Internships

Wilmington, NC · On-site

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Bespoke Labs

Data Engineer

Wilmington, NC · On-site

$98K - $118K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Machine Learning Engineer

Wilmington, NC · On-site

... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Victaulic

Welding Engineer- Leland, NC

Leland, NC · On-site

$31 - $42.50/hr

Working knowledge of AWS A5.12, D1.6, D18.2, ISO 6848 and other related specifications ... Ability to write scripts or tools in Python to support data analysis, quality tracking, or process ...

Victaulic

Welding Engineer- Leland, NC

Leland, NC · On-site

$31 - $42.50/hr

Working knowledge of AWS A5.12, D1.6, D18.2, ISO 6848 and other related specifications ... Ability to write scripts or tools in Python to support data analysis, quality tracking, or process ...

Danaher

Digital Analyst Internships

Wilmington, NC · On-site

$84K - $100K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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Internship Aws Python Developer information

See Wilmington, NC salary details

$12

$54

$80

How much do internship aws python developer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for internship aws python developer in Wilmington, NC is $54.63, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $62.07 per hour, depending on experience, location, and employer.

What does an AWS Python Developer intern do?

An AWS Python Developer Intern assists with designing, developing, and maintaining cloud-based applications using Amazon Web Services (AWS) and the Python programming language. Their responsibilities typically include writing and testing code, automating cloud infrastructure, and collaborating with senior developers to implement scalable solutions. Interns may also help with debugging, monitoring, and optimizing existing applications, as well as learning best practices for cloud security and deployment. This role provides valuable hands-on experience with both cloud computing and Python development in a real-world business environment.

What types of projects can I expect to work on during an AWS Python Developer internship?

As an AWS Python Developer intern, you can expect to work on projects that involve building, testing, and deploying cloud-based applications using AWS services such as Lambda, S3, and DynamoDB. Your daily tasks may include writing Python scripts for automation, assisting with API integrations, and collaborating with senior developers to solve real-world business problems. Interns often work within agile teams, gaining exposure to cloud architecture, DevOps practices, and continuous integration/continuous deployment (CI/CD) pipelines. This hands-on experience is valuable for developing both technical and teamwork skills in a dynamic, fast-paced environment.

What are the key skills and qualifications needed to thrive as an AWS Python Developer intern?

To thrive as an Internship AWS Python Developer, you need a solid understanding of Python programming, basic knowledge of cloud computing concepts, and familiarity with AWS services, ideally supported by relevant coursework or certifications. Experience with tools like AWS Lambda, S3, EC2, and version control systems (e.g., Git) is often expected. Problem-solving ability, eagerness to learn, and effective teamwork are standout soft skills for this role. These competencies are crucial for building scalable cloud solutions, adapting to evolving technologies, and contributing successfully within a collaborative development environment.

What is the difference between Internship Aws Python Developer vs Cloud Engineer?

AspectInternship Aws Python DeveloperCloud Engineer
Required SkillsPython, AWS basics, scripting, basic cloud conceptsAdvanced cloud architecture, AWS services, scripting, automation
Experience LevelEntry-level, internship experienceMid to senior level, professional experience
Work EnvironmentInternship programs, training projectsFull-time roles, enterprise cloud environments
CertificationsOptional, AWS Cloud Practitioner or similarRequired or preferred, AWS Solutions Architect, DevOps certifications

The Internship Aws Python Developer role is an entry-level position focused on learning AWS and Python scripting within a training environment. In contrast, a Cloud Engineer is a more advanced role involving designing, implementing, and managing cloud infrastructure. While both roles require knowledge of AWS, the Cloud Engineer position demands more experience and certifications. The internship provides a stepping stone into cloud careers, whereas the Cloud Engineer role is a full-time professional position.

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What cities near Wilmington, NC are hiring for Internship Aws Python Developer jobs?

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Internship Aws Python Developer jobs near you
Infographic showing various Internship Aws Python Developer job openings in Wilmington, NC as of July 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $113,625 per year, or $54.6 per hour.

GenAI / Machine Learning / Python Engineer - USC / Green Card / H4 EAD

Hudson Manpower

Wilmington, NC • On-site, Remote

$30 - $45/hr

Full-time

Posted 2 days ago

New

Job description

About the Opportunity
We are looking for a skilled GenAI / Machine Learning / Python Engineer with 2-6 years of professional experience to join a growing technology team. The ideal candidate will have strong Python and Machine Learning fundamentals, along with hands-on experience building AI/ML solutions and an interest in Generative AI and emerging AI technologies.
This opportunity is well suited for professionals who have worked on real-world AI/ML projects and are looking to contribute to production-focused solutions involving Machine Learning, Generative AI, LLMs, and data-driven applications.
Employment Type: Full-Time W2
Experience: 2-6 Years
Work Authorization: USC / Green Card / H4 EAD
Location: Open to Relocation Anywhere in the United States
Employment: W2 Only - No C2C / 1099
Key Responsibilities
  • Develop, test, and maintain Machine Learning and AI solutions using Python.
  • Build and integrate Generative AI and LLM-based applications.
  • Work with structured and unstructured data to identify patterns and generate insights.
  • Develop and optimize ML models for real-world business applications.
  • Implement data preprocessing, feature engineering, model training, evaluation, and optimization.
  • Work with LLM APIs, prompt engineering, embeddings, and AI/ML frameworks.
  • Develop or support Retrieval-Augmented Generation (RAG) solutions where applicable.
  • Collaborate with engineering, data, and business teams to understand requirements and deliver AI-driven solutions.
  • Deploy and monitor AI/ML applications in development or production environments.
  • Document technical solutions, methodologies, and model performance.

GenAI Skills - Preferred
Candidates with hands-on experience in the following areas are highly preferred:
  • Generative AI and Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Vector databases such as Pinecone, FAISS, Chroma, Weaviate, or similar
  • LangChain, LlamaIndex, or comparable GenAI frameworks
  • LLM APIs such as OpenAI, Azure OpenAI, Gemini, Claude, Llama, or similar
  • Embeddings and semantic search
  • NLP and Transformer architectures
  • Fine-tuning or model customization
  • AI agents / Agentic AI

Cloud & Deployment - Nice to Have
  • Experience with AWS, Azure, or GCP
  • Docker and containerization
  • REST APIs and microservices
  • CI/CD
  • Kubernetes
  • ML deployment and monitoring / MLOps

Required Qualifications
  • 2-6 years of professional experience in Machine Learning, Data Science, Artificial Intelligence, GenAI, or a closely related field.
  • Strong programming experience with Python.
  • Solid understanding of Machine Learning concepts and algorithms.
  • Hands-on experience developing and evaluating Machine Learning models.
  • Experience working with data preprocessing, feature engineering, and exploratory data analysis.
  • Strong understanding of SQL and data manipulation.
  • Experience with commonly used Python libraries such as Pandas, NumPy, Scikit-learn, or similar.
  • Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or Hugging Face is preferred.
  • Strong analytical and problem-solving skills.
  • Ability to work effectively in a collaborative team environment.

Eligibility Requirements
  • US Citizens (USC)
  • Green Card holders
  • H4 EAD holders
  • Must have 2-6 years of relevant professional experience
  • Must be willing to relocate anywhere within the United States
  • Must be willing to work on a W2 basis

Important
W2 ONLY. No C2C or 1099 arrangements.
Candidates who meet the above requirements and are open to relocation are encouraged to apply.

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