ZipRecruiter

Log In

1

Junior Ai Machine Learning Python Jobs in Chicago Ridge, IL

Cccis

AI Enablement Intern

Chicago, IL

$20 - $43/hr

  • Medical

  • Retirement

  • PTO

... Scientists and Machine Learning engineers. Our goal is to understand and utilize the ... to Python, Go, Java and JavaScript) - Understanding Linux systems and bash scripts - Working ...

New

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

The role involves designing and deploying machine learning models, collaborating with trading teams ... Python • Proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance ...

United Airlines

Machine Learning Engineering Manager

Chicago, IL · On-site

$118 - $153/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong software engineering experience with Python and at least one additional language such as Java, Go, Rust, or C/C++ * Understanding of machine learning principles and techniques * Experience ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$127K - $167K/yr

... AI * Understanding of machine learning fundamentals - neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow * Proficiency in Python ...

IMC

Machine Learning Research Lead

Chicago, IL · On-site

$250K - $300K/yr

  • PTO

Mentor junior researchers and contribute to a culture of research excellence and experimentation ... Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and ...

Cherry Bekaert

AI Agent & Automation Developer

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, AI, Machine Learning, or a related field. * Proven ... Strong programming skills in Python (or similar) and experience with AI/ML libraries (e.g ...

Crowe

AI Technical Consultant

Chicago, IL · On-site

Helps senior team members test simple machine learning or AI scripts using existing frameworks or notebooks (e.g., Python, R). * Logs issues or anomalies discovered during experiments; escalates them ...

New

Crowe LLP

AI Technical Consultant

Chicago, IL · On-site

Helps senior team members test simple machine learning or AI scripts using existing frameworks or notebooks (e.g., Python, R). * Logs issues or anomalies discovered during experiments; escalates them ...

Crowe LLP

AI Technical Consultant

Chicago, IL · On-site

Helps senior team members test simple machine learning or AI scripts using existing frameworks or notebooks (e.g., Python, R). * Logs issues or anomalies discovered during experiments; escalates them ...

Crowe LLP

AI Technical Consultant

Chicago, IL · On-site

Helps senior team members test simple machine learning or AI scripts using existing frameworks or notebooks (e.g., Python, R). * Logs issues or anomalies discovered during experiments; escalates them ...

New

Referrals Only

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

As a key influencer, you will champion Responsible AI and effective ways of working within the team ... Python. * You have experience with distributed systems and scalable architectures to handle large ...

Crowe LLP

Machine Learning Engineer

Oakbrook Terrace, IL

$62K - $100K/yr

Participate in ethical reviews and risk/security evaluations to uphold Crowe's standards for responsible AI deployment. Required Skills * Expertise in Python programming and experience with version ...

previous page

Showing results 41-60

All JobsAi Machine Learning Python JobsJunior Ai Machine Learning Python JobsJunior Ai Machine Learning Python Jobs in Chicago Ridge, IL

Junior Ai Machine Learning Python information

See Chicago Ridge, IL salary details

$47.4K

$96.4K

$144.8K

How much do junior ai machine learning python jobs pay per year?

As of Aug 18, 2026, the average yearly pay for junior ai machine learning python in Chicago Ridge, IL is $96,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $97,400.00 per year, depending on experience, location, and employer.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What cities near Chicago Ridge, IL are hiring for Junior Ai Machine Learning Python jobs?

Cities near Chicago Ridge, IL with the most Junior Ai Machine Learning Python job openings:

Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in Chicago Ridge, IL as of August 2026, with employment types broken down into 1% As Needed, 57% Full Time, 39% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $96,438 per year, or $46.4 per hour.

Machine Learning Engineering Manager

United Airlines, Inc.

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Posted 14 days ago

United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 342 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines

Job description

Description
Job overview and responsibilities
Develops and programs integrated software algorithms to structure, analyze and leverage data in systems applications. Develops and communicates statistical modeling techniques to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Can work with large scale computing frameworks, data analysis systems and modeling environments.
  • Design and implement key components of the Machine Learning Platform infrastructure and establish processes and best practices
  • Work cross-functionally with data scientists, data engineers, and IT teams to design, develop, deploy, and integrate high-performance, production-grade machine learning solutions and data intensive workflows
  • Partner with data scientists and data engineers to create and refine features from underlying data and build reproducible feature pipelines to train models and serve features in production
  • Partner with data platform and operations teams to solve complex data ingestion, pipeline and governance problems for machine learning solutions
  • Take ownership of production systems with a focus on delivery, continuous integration, and automation of machine learning workloads
  • Provide technical mentorship, guidance, and quality-focused code review to data scientists and ML engineers

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Bachelor's degree in computer science, engineering, or a related technical discipline
  • 3+ years of experience in managing technical teams and projects
  • 3+ years of experience in full software lifecycle development using Python
  • 3+ years of experience leading an ML Ops team familiar with large cloud environments, Big Data technologies
  • 3+ years in software development in Python, Java, PySpark
  • 3+ Years of Experience with Machine Learning and Machine Learning workflows
  • 3+ years of experience designing and developing using technologies as Docker, Kubernetes
  • Strong software engineering experience with Python and at least one additional language such as Java, Go, Rust, or C/C++
  • Understanding of machine learning principles and techniques
  • Experience with data science tools and frameworks (e.g. PyTorch, Tensorflow, Keras, Pandas, Numpy, Spark)
  • Experience designing and developing scalable cloud native solutions using technologies such as Docker and Kubernetes and serverless services such as AWS Lambda, EKS, ECS, Fargate
  • Experience building infrastructure-as-code templates (e.g. AWS CloudFormation) and cloud-native CI/CD pipelines using tools such as AWS CodePipeline
  • Experience building ETL pipelines and working with big data technologies (e.g. Hadoop, Spark, and serverless technologies such as EMR, Redshift, S3, AWS Glue, and Kinesis)
  • Knowledge of distributed systems as it pertains to compute and data storage
  • Strong desire to experiment with and learn new technologies and stay aligned with the latest community developments in ML Ops/Engineering and cloud native
  • Excellent oral and written communication skills. Ability to prepare high-quality presentation materials and explain complex concepts and technical materials to less-technical audiences
  • 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):
  • AWS Certified Solution Architect (Associate or Professional)
  • Experience working as a Machine Learning Engineer or Data Scientist building and productional machine learning solutions
  • Experience building real-time event-driven stream processing solutions with technologies such as Kafka, Flink, and Spark
  • Experience with GPU acceleration (e.g. CUDA and CuDNN)
  • Experience with Kubernetes

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

Social media

FacebookTwitter

View All United Airlines Jobs

Apply