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Internship Aws Machine Learning Jobs in Illinois

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Machine Learning Intern

Chicago, IL · On-site

$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 ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Leverage cutting-edge big data technologies on AWS utilizing Databricks and Spark to develop scalable and efficient machine learning solutions for millions of users. * Create automated data and ...

AWS Technical Architect

Chicago, IL · On-site

$66.75 - $87.50/hr

As AWS' deepest strategic partner in the ecosystem, AABG leveragescutting-edgeengineering, high-performance computing (HPC), artificial intelligence (AI), machine learning (ML), and advanced data ...

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Development experience using both the AWS and GCP suite of tools. * Familiarity with SageMaker ...

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Development experience developing solutions within AWS, GCP or both. * Experience developing ...

Showing results 41-60

Internship Aws Machine Learning information

What are the most commonly searched types of Aws Machine Learning jobs in Illinois?

The most popular types of Aws Machine Learning jobs in Illinois are:

What cities in Illinois are hiring for Internship Aws Machine Learning jobs?

Cities in Illinois with the most Internship Aws Machine Learning job openings:

Infographic showing various Internship Aws Machine Learning job openings in Illinois as of June 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Principal Architect - Machine Learning

United Airlines, Inc.

Chicago, IL • On-site

Full-time

Re-posted 29 days ago


United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 343 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines


Job description

Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities
United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with ML engineers, data scientists and data engineers. This role will design, architect, implement and lead key components of the Machine Learning Platform, Gen AI/ML business use cases, and establish processes and best practices.
  • Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United
  • Set up containers and Serverless platform with cloud infrastructure
  • You will design and develop tools and apps to enable ML automation using AWS ecosystem
  • Build data pipelines to enable ML models for batch and real-time data
  • Hands on development expertise of Spark and Flink for both real time and batch applications
  • Support large scale model training and serving pipelines in distributed and scalable environment
  • Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies - NumPy, data science packages like sci-kit, microservices architecture
  • Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them
  • Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-end lifecycle of large language models
  • Develop, optimize, fine-tune Generative AI/LLM models to improve performance and accuracy and deploy them

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Bachelor's degree in
    Computer Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required
  • 5+ years of software engineering experience with languages such as Python, Go, Java, or C/C++
  • 5+ years of experience in machine learning, deep learning, and natural language processing
  • Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++
  • Strong technical leadership and familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production ML pipelines
  • Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, CatBoost, Deep Learning, etc
  • Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context
  • Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS CodePipeline; preferably experience with GitOps using tools such as ArgoCD, Flux, or Jenkins X
  • Experience with generative models such as GANs, VAEs, and autoregressive models
  • Prompt engineering: Ability to design and craft prompts that evoke desired responses from LLMs
  • LLM evaluation: Ability to evaluate the performance of LLMs on a variety of tasks, including accuracy, fluency, creativity, and diversity
  • LLM debugging: Ability to identify and fix errors in LLMs, such as bias, factual errors, and logical inconsistencies
  • LLM deployment: Ability to deploy LLMs in production environments and ensure that they are reliable and secure
  • Experience with LLMOps (Large Language Model Operations) or AgenticOps (Agentic Operations) to manage the end-to-end lifecycle of large language models
  • Experience with generative ai methods such as retrieval augmented generation (RAG) and instruction fine tuning
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualification
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • Master's/PhD degree in
    Computer Science or related STEM field
  • 5 + years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS
  • 5 + years of experience with Big Data technologies such as Spark, Flink and SQL programming
  • 5 + years of experience with cloud-native DevOps, CI/CD
  • 3 - 5 + years of relevant enterprise Architecture experience
  • 1+ years of experience with Generative AI/LLMs

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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