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Internship Aws Machine Learning Jobs in Addison, IL

TekCommands Inc

AWS + Generative AI Engineer

Chicago, IL · On-site

$66.75 - $87.50/hr

The ideal candidate will have expertise in AWS Machine Learning, AWS Bedrock, Data Pipelines, AWS Config, and cloud-native architectures . This role involves building enterprise AI solutions ...

TEKsystems

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

... AWS cloud infrastructure. - Top priority is a solid engineering experience. - Seems to value ... Applying the latest techniques and approaches across the domains of data science, machine learning ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

New

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

New

Vizient

AVP, Machine Learning & Modeling

Chicago, IL

$156K - $290K/yr

Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ... Strong proficiency in Python, SQL, and with cloud-based AI/ML platforms (AWS SageMaker, Azure ML ...

Apex Systems

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Stay up to date with latest design patterns and AWS services with respect to Machine Learning Engineering. Partner with data architecture, data governance, and security team to ensure solutions meet ...

Apex Systems

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Stay up to date with latest design patterns and AWS services with respect to Machine Learning Engineering. Partner with data architecture, data governance, and security team to ensure solutions meet ...

Crowe

Machine Learning Intern

Chicago, IL

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

Crowe

Machine Learning Intern

Chicago, IL · On-site

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

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Internship Aws Machine Learning information

See Addison, IL salary details

$25.5K

$42.7K

$88.2K

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

As of Aug 27, 2026, the average yearly pay for internship aws machine learning in Addison, IL is $42,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $46,100.00 per year, depending on experience, location, and employer.

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Internship Aws Machine Learning jobs near you
Infographic showing various Internship Aws Machine Learning job openings in Addison, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,663 per year, or $20.5 per hour.

AWS + Generative AI Engineer

Chicago, IL • On-site

TekCommands Inc
11 - 50 employees
Learn more about TekCommands Incexternal

$66.75 - $87.50/hr

Contractor

Re-posted 13 days ago

Job description

We are looking for an experienced AWS + Generative AI Engineer to design and develop secure, scalable, and AI-powered cloud solutions on AWS. The ideal candidate will have expertise in AWS Machine Learning, AWS Bedrock, Data Pipelines, AWS Config, and cloud-native architectures. This role involves building enterprise AI solutions, developing data pipelines, and collaborating with cross-functional teams to deliver innovative cloud applications.

Top 3 Required Skills

  1. AWS Cloud & Machine Learning
  2. AWS Bedrock & Generative AI
  3. AWS Data Pipelines & Infrastructure Automation

Key Responsibilities

  • Design and develop cloud-native applications using AWS services.
  • Build and deploy Generative AI solutions using AWS Bedrock.
  • Design and implement machine learning workflows, model deployment, and monitoring.
  • Develop scalable data pipelines for analytics and AI workloads.
  • Configure and manage AWS Config and governance policies to ensure security and compliance.
  • Design secure, reliable, and cost-effective AWS architectures.
  • Collaborate with data engineers, data scientists, and application teams to deliver AI-powered solutions.
  • Implement Infrastructure as Code (IaC) and cloud automation.
  • Optimize AWS environments for performance, scalability, and cost.
  • Document architecture, technical designs, and best practices.
  • Mentor engineering teams on AWS and Generative AI technologies.

Required Skills

  • 12–16 years of experience in Cloud Engineering, Solution Architecture, or Enterprise Architecture.
  • Strong hands-on experience with Amazon Web Services (AWS).
  • Experience with:
    • AWS Bedrock
    • AWS Machine Learning Services
    • AWS Data Pipeline or similar orchestration tools
    • AWS Config
  • Strong knowledge of Generative AI and Large Language Models (LLMs).
  • Experience designing cloud-native and distributed applications.
  • Experience with Infrastructure as Code (Terraform or CloudFormation).
  • Strong understanding of cloud security, governance, and identity management.
  • Excellent communication and stakeholder management skills.

Preferred Skills

  • Experience with AWS-based commerce platforms.
  • Knowledge of AI/ML model deployment and lifecycle management.
  • Experience with cloud automation and DevOps practices.
  • Experience with Python or other scripting languages.

Certifications

  • AWS Certified Solutions Architect – Professional or
  • AWS Certified Machine Learning – Specialty or equivalent AWS certification