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Junior Ai Machine Learning Python Jobs in Chicago Ridge, IL

Kirkland & Ellis LLP.

AI Engineer II

Chicago, IL · On-site

$116K - $144K/yr

Strong Python skills with experience building AI/ML models, APIs, and LLM or RAG-based solutions ... Experience with Microsoft Azure AI services (e.g., Azure Machine Learning, Azure OpenAI Service ...

Northern Trust

SVP AI Enterprise Architect

Chicago, IL · On-site

$137K - $240K/yr

Deep experience with generative AI, machine learning, and enterprise-grade AI/ML systems in ... Proficiency in programming languages such as Python and experience with AI/ML frameworks. * This ...

Northern Trust

SVP AI Enterprise Architect

Chicago, IL

$137K - $240K/yr

Deep experience with generative AI, machine learning, and enterprise-grade AI/ML systems in ... Proficiency in programming languages such as Python and experience with AI/ML frameworks. * This ...

Northern Trust

SVP AI Enterprise Architect

Chicago, IL

$137K - $240K/yr

Deep experience with generative AI, machine learning, and enterprisegrade AI/ML systems in ... Proficiency in programming languages such as Python and experience with AI/ML frameworks. * This ...

Varsity Tutors

Machine Learning Tutor

Oak Lawn, IL · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Varsity Tutors

Machine Learning Tutor

Wheaton, IL · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Varsity Tutors

Machine Learning Tutor

Chicago, IL · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Varsity Tutors

Machine Learning Tutor

Naperville, IL · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

IMC

Machine Learning Research Lead

Chicago, IL · On-site

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 ...

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All 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 Jun 22, 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 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 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 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 June 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Contract, and 3% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $96,438 per year, or $46.4 per hour.

AI Engineer II

Kirkland & Ellis LLP.

Chicago, IL • On-site

$116K - $144K/yr

Full-time

Medical, Retirement, PTO

Posted 20 days ago

Job description

About Kirkland & Ellis
At Kirkland & Ellis, we don't just meet the standard for legal excellence - we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers' commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
What You'll Do
Are you passionate about building scalable, real-world AI solutions that transform how professionals work? As an AI Engineer II, you'll design, build, and optimize enterprise AI solutions that power innovation across Information Technology's Innovation Technology and Litigation Practice Technology (LPT) teams. Reporting to the AI Engineering Lead, you'll take ownership of the full AI solution lifecycle-from architecture and deployment to evaluation and continuous improvement-while collaborating closely with cross-functional stakeholders.
In this role, you'll combine technical depth with practical impact, helping deliver secure, production-ready solutions while also mentoring junior engineers and contributing to the evolution of AI capabilities across the organization.
  • Solution Architecture: Design scalable, secure AI architecture and translate business needs into actionable technical solutions and implementation plans.
  • AI Development & Deployment: Build and deploy AI models, large language model (LLM)-powered applications, and retrieval-augmented generation (RAG) pipelines across enterprise environments.
  • Quality & Evaluation: Create and manage evaluation frameworks including regression testing, benchmark datasets, and human-in-the-loop validation to ensure high-quality outputs.
  • Troubleshooting & Optimization: Diagnose and resolve complex issues across AI systems and integrations, performing root cause analysis and implementing long-term fixes.
  • Automation & Efficiency: Develop and enhance automated pipelines for AI delivery using tools like Azure DevOps, GitHub Actions, Python, and PowerShell.
  • Security & Responsible AI: Ensure solutions meet security standards, data governance requirements, and Responsible AI (RAI) guidelines while complying with regulatory expectations.
  • Collaboration & Mentorship: Partner with engineers, architects, and stakeholders across teams while mentoring junior team members and contributing to knowledge sharing.

What You'll Bring
  • Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; advanced degree or certifications (e.g., Microsoft Certified: Azure AI Engineer Associate) are a plus.
  • Experience: 3-5 years of hands-on experience in software engineering, cloud engineering, or AI/machine learning (AI/ML) development with a track record of delivering solutions end-to-end.
  • Programming & AI Development: Strong Python skills with experience building AI/ML models, APIs, and LLM or RAG-based solutions.
  • Cloud & Platform Expertise: Experience with Microsoft Azure AI services (e.g., Azure Machine Learning, Azure OpenAI Service, Azure AI Search) along with Docker and Kubernetes (AKS).
  • Engineering Practices: Familiarity with continuous integration and continuous delivery (CI/CD) pipelines, infrastructure as code (IaC) tools (Terraform or Bicep), and modern API/integration patterns.
  • Evaluation & Optimization: Understanding of AI evaluation techniques, including prompt testing, benchmarking, and performance tuning.
  • Technical Versatility: Experience with GPU environments, Linux systems, and frameworks such as LangChain, Semantic Kernel, or Azure Prompt Flow.
  • Collaboration & Mindset: Strong problem-solving skills, a collaborative approach, and a passion for mentoring and continuous improvement.

If you're excited to build impactful AI solutions, collaborate with forward-thinking teams, and drive innovation in this AI Engineer II role, we'd love to hear from you!
Compensation
The base salary range below represents the low and high end of the salary range for this position in Chicago. This range may differ based on your geographic location and cost of living considerations. At Kirkland & Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.
Compensation Range:
Chicago: $116,000 - $144,000
How to Apply
Thank you for your interest in Kirkland & Ellis LLP. To complete an application and submit your resume, please click "Apply Now."
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.
Equal Employment Opportunity
All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee's race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. #LI-Hybrid #LI-SM1

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