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Internship Aws Python Developer Jobs in Michigan

Python Developer - W2

Detroit, MI · On-site

$49.75 - $68.50/hr

... engineering using Python (Pandas, NumPy, etc.). Strong hands-on experience with machine learning ... Exposure to Cloud platforms (AWS, Azure, or GCP) for model training, data storage, and deployment ...

Position-AWS Developer Duration-Contract Location- Detroit, MI~ WALTHAM, MA JD Microsoft Azure, Python, Amazon Web Service(AWS) Cloud Computing, Windows Powershell, Terraform 1.)Design, develop, and ...

New

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

The ideal candidate will have strong experience in Databricks, AWS, Python/Scala, Oracle, and ... Job Title: Senior Data Engineer Location: Lansing, MI (Hybrid - Onsite 2 days/week, REQUIRED ...

... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... AWS CloudFormation, Azure Resource Manager, Terraform - Building and deploying DevOps pipelines ...

AWS Engineer

Detroit, MI · On-site

$51 - $68.25/hr

Cloud Platforms AWS and other cloud skills added like GCP, Microsoft Azure CI/CD Jenkins Gitlab CI Programming /Scripting Languages Python, Shell, PowerShell, Groovy XML, YAML Code tool Terraform ...

Description We are seeking an AWS Developer Operations Engineer to join our team! You will design ... Shell, Python, Javscript) • Experience with container orchestration utilizing ECS, EKS ...

New

Expert Python Developer * Strong SQL Developer * Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON ...

Expert Python Developer * Strong SQL Developer * Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON ...

Expert Python Developer * Strong SQL Developer * Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON ...

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Internship Aws Python Developer information

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 Internship AWS Python Developer, and why are they important?

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.

What are the most commonly searched types of Aws Python Developer jobs in Michigan? The most popular types of Aws Python Developer jobs in Michigan are:
What job categories do people searching Internship Aws Python Developer jobs in Michigan look for? The top searched job categories for Internship Aws Python Developer jobs in Michigan are:

$49.75 - $68.50/hr

Full-time

Posted 5 days ago


Job description

Role Name: Python with AI/ML
Location : Remote
Only W2
Only H1B-T, USC, H4 EAD
No C2C
Skill Requirement: Primary - Python with AI/ML (preferred), Snowflake (preferred)
Minimum 4+ years of hands-on experience.
Drive the design, development, and deployment of machine learning models and AI solutions to solve business problems.
Experience in building data pipelines, performing data wrangling, and feature engineering using Python (Pandas, NumPy, etc.).
Strong hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
Proficient in using JupyterHub for collaborative development and analysis.
Solid understanding of statistical methods, predictive modeling, classification, regression, clustering, etc.
Experience in deploying models in production using tools like Flask, Fast API, or MLflow is a plus.
Should have good knowledge of SQL and working with relational databases (e.g., PostgreSQL, MySQL, SQL Server, Teradata, Oracle, or Snowflake).
Hands-on experience with Power BI for building dashboards and presenting analytical insights.
Exposure to Cloud platforms (AWS, Azure, or GCP) for model training, data storage, and deployment is preferred.
Domain knowledge in Healthcare or Life Sciences would be an added advantage.
Agile Methodology.
Should possess advanced Analytical and statistical skills
May require occasional support for production ML pipelines or model monitoring.
Ability to troubleshoot and fix issues in ML code or data workflows.
Possess strong communication skills both written and verbal.