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Machine Learning Ai Developer Jobs in Chicago, IL

AI Engineer - Enterprise Business Systems

Chicago, IL

$110K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong foundation in machine learning, software engineering, statistics, and data structures ... Experience implementing AI guardrails, validation frameworks, security controls, and compliance ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Baking AI Ethics into all our processes as a first-class citizen (Blog Post) * Working in a ... , DevOps, and Delivery Platforms to understand requirements and ensure alignment of machine ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Baking AI Ethics into all of our processes as a first-class citizen (Blog Post) * Working in a ... , DevOps, and Delivery Platforms to understand requirements and ensure alignment of machine ...

Staff Machine Learning Engineer

Schaumburg, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Baking AI Ethics into all of our processes as a first-class citizen (Blog Post) * Working in a ... , DevOps, and Delivery Platforms to understand requirements and ensure alignment of machine ...

Agentic AI/AI Engineer - Generative AI & Machine Learning Location: Schaumburg, IL (Hybrid - 3 Days Onsite per Week) Long Term W2 Job Summary: We are seeking a highly motivated and adaptable AI ...

Manager Machine Learning Engineering

Schaumburg, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Our machine learning engineering team is responsible for developing infrastructure and tooling to ... Baking AI Ethics into all our processes as a first-class citizen (Blog Post) * Working in a ...

Innovation AI Developer

Chicago, IL · On-site

  • Medical

  • Retirement

  • PTO

As an Innovation AI Developer at Kirkland & Ellis, you will play a pivotal role on our Innovation ... machine learning, and modern cloud architectures to drive efficiency, quality, and informed ...

Senior Software Engineer

Chicago, IL

$126K - $166K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Minimum of 7+ years' experience in machine learning, AI engineering, or data science, with at least 3 years in Gen AI model development and solution deployment. * Full stack development experience ...

Senior Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Minimum of 7+ years' experience in machine learning, AI engineering, or data science, with at least 3 years in Gen AI model development and solution deployment. * Full stack development experience ...

Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Schaumburg, IL - Hybrid - 3days/week onsite Duration: Long Term Contract - W2 only Job Summary: We are seeking a highly ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

AI Engineering / GenAI Lead

Chicago, IL · On-site

$105K - $139K/yr

Job Summary We are looking for an experienced AI Engineering / Generative AI (GenAI) Lead to lead ... Azure Machine Learning, Azure Functions, and Azure Kubernetes Service (AKS). • Develop and ...

Generative AI Engineer

Schaumburg, IL · On-site

$95K - $131K/yr

We are seeking a highly motivated and adaptable AI Engineer to join an innovative team. The ideal ... Required Skills: * Strong proficiency in Python for backend development and machine learning.

As an AI Engineer, you will work on high-impact machine learning and artificial intelligence initiatives, building infrastructure and tooling to enhance productivity and efficiency within a ...

Showing results 21-40

Machine Learning Ai Developer information

See Chicago, IL salary details

$10

$54

$74

How much do machine learning ai developer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for machine learning ai developer in Chicago, IL is $54.99, according to ZipRecruiter salary data. Most workers in this role earn between $48.56 and $62.40 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

Is machine learning AI developer a good career?

A machine learning AI developer is a highly in-demand role that involves designing algorithms and models to enable machines to learn from data. It offers strong job growth, competitive salaries, and opportunities across various industries such as technology, healthcare, and finance. Success in this field typically requires skills in programming, mathematics, and familiarity with tools like Python and TensorFlow.

What does a machine learning AI developer do?

A machine learning AI developer designs, builds, and maintains algorithms and models that enable computers to learn from data and make predictions or decisions. They work with programming languages like Python or R, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and engineers to deploy AI solutions in various applications.

AI Engineer - Enterprise Business Systems

Publicis Groupe Holdings B.V

Chicago, IL • On-site

$110K - $137K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Company Description
Overview
As an AI Engineer, you will play a critical role in building and scaling AI-powered capabilities that directly influence Epsilon's products, platforms, and client outcomes.
Within Epsilon's Corporate Intelligence Platform (CIP) in Enterprise Business Systems, you will be responsible for operationalizing AI-driven capabilities that make enterprise data more intuitive, intelligent, and accessible. You will design and build AI-powered experiences that enable business users to interact with data using natural language while ensuring outputs are accurate, governed, and aligned with approved business definitions and metrics.
This role offers the opportunity to work on high-impact initiatives involving generative AI, large language models (LLMs), agentic workflows, intelligent automation, retrieval-augmented generation (RAG), and enterprise analytics. Your work will help transform how Epsilon teams explore data, generate insights, and make better business decisions while advancing the company's broader goals of innovation, operational excellence, and data-driven decision making.
Engineers in this position gain deep experience across applied AI, enterprise analytics, software engineering, large-scale data platforms, and production AI systems while contributing directly to Epsilon's long-term AI strategy and the evolution of the Corporate Intelligence Platform.
Responsibilities
AI-Powered Data Experiences
  • Design, develop, and deploy AI-powered solutions that are scalable, reliable, secure, and production-ready.
  • Build AI-driven interfaces that enable users to query CIP data through natural language prompts and receive structured, business-aligned responses.
  • Develop conversational AI and Genie-style experiences integrated with curated datasets, metrics layers, and business semantic models.
  • Collaborate with cross-functional partners to embed AI capabilities into internal platforms.

Generative AI & LLM Engineering
  • Contribute to the development of generative AI and LLM-based solutions using prompt engineering, retrieval-augmented generation (RAG), vector search, orchestration frameworks, and model fine-tuning techniques.
  • Design and implement prompt frameworks, templates, and reusable patterns optimized for enterprise analytics, financial metrics, resource planning, and product intelligence use cases.

AI Governance & Responsible AI
  • Implement guardrails to ensure safe, accurate, compliant, and trustworthy AI responses.
  • Enforce enterprise data access controls and security requirements within AI workflows.

AI Adoption & Enablement
  • Partner with product, analytics, and engineering teams to create intuitive AI-powered user experiences.
  • Enable business users to safely self-serve insights through AI-driven workflows and conversational interfaces.
  • Support training, documentation, and adoption initiatives that drive enterprise-wide usage of AI capabilities.

Qualifications
What You'll Bring With You
  • 4+ years of experience building machine learning, AI-driven, or generative AI solutions in production environments.
  • Strong foundation in machine learning, software engineering, statistics, and data structures.
  • Proficiency in Python and experience applying production-grade software engineering practices.
  • Experience designing and optimizing prompts for reliable, repeatable AI outcomes.
  • Familiarity with large language models, retrieval-augmented generation (RAG), vector search, agent-based architectures, and conversational AI experiences.
  • Experience working with cloud platforms such as AWS, Azure, GCP, or Databricks.
  • Strong understanding of data models, metrics, semantic layers, and data governance concepts.
  • Experience implementing AI guardrails, validation frameworks, security controls, and compliance practices.
  • Ability to work across the full AI lifecycle, from data exploration and modeling through deployment, monitoring, and continuous improvement.
  • Proven ability to collaborate effectively with product managers, analysts, engineers, and business partners.
  • Strong problem-solving skills and comfort operating in ambiguous or evolving problem spaces.

Why You Might Stand Out From Other Talent
  • Experience building enterprise AI solutions using Databricks ML/GenAI, or similar platforms.
  • Deep expertise in prompt engineering, evaluation frameworks, and AI quality measurement.
  • Experience developing natural language interfaces for analytics, reporting, and business intelligence platforms.
  • Familiarity with enterprise semantic layers, governed metrics repositories, or modern data platforms.
  • Experience collaborating closely with product and platform teams on customer-facing and enterprise AI features.
  • MS degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field (or equivalent practical experience).

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.
Additional Information
When You Join Us, We'll Create Something EPIC Together
Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.
Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.
Our pillars aren't just words. They're how we show up every day.
  • People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
  • Collaboration: We work together, support one another, and collectively achieve goals.
  • Growth: There are endless opportunities for growth through learning, development and career advancement.
  • Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
  • Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.
  • Act with integrity
  • Work together to win together
  • Innovate with purpose
  • Respect all voices
  • Empower with accountability

These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.
Because You Matter
As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following:
  • Time to Recharge: Flexible time off (FTO), 15 paid holidays
  • Time to Recover: Paid sick time
  • Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance
  • Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling

Epsilon benefits are subject to eligibility requirements and other terms.
Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.
For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.
Compensation Range: USD $73,500.00 - USD $136,500.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/3/2026.