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Associate Artificial Intelligence Machine Learning Jobs in Romeoville, IL

Lead AI and Data Science Engineer II

Chicago, IL · On-site

$105K - $139K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and ...

Market Intelligence: Stay up to date with the latest trends in artificial intelligence, machine learning, and the competitive landscape to effectively position our product in the market. Cross ...

Digital Water Engineer I

Chicago, IL

$74K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Foundational knowledge or interest in artificial intelligence, machine learning, computer vision, or data analytics. * Experience or familiarity with programming in Python. * Familiarity with ...

AI Engineer

Chicago, IL · On-site

$175K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

You'll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and ...

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

Showing results 21-40

Associate Artificial Intelligence Machine Learning information

See Romeoville, IL salary details

$32.1K

$135.7K

$320.7K

How much do associate artificial intelligence machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for associate artificial intelligence machine learning in Romeoville, IL is $135,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $206,000.00 per year, depending on experience, location, and employer.

What does an Associate Artificial Intelligence Machine Learning professional do?

An Associate Artificial Intelligence Machine Learning (AI/ML) professional assists with the development, testing, and deployment of AI and machine learning models. They typically work under the supervision of senior data scientists or machine learning engineers, helping to preprocess data, select algorithms, and evaluate model performance. Their responsibilities may also include writing code, analyzing results, and supporting the integration of models into applications or systems. This entry-level role is ideal for those who have foundational knowledge in AI/ML concepts and are looking to gain practical, hands-on experience in the field.

What are the key skills and qualifications needed to thrive as an Associate Artificial Intelligence Machine Learning professional, and why are they important?

To thrive as an Associate Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, and computer science, typically with a relevant degree and familiarity with machine learning concepts. Proficiency in programming languages like Python or R, experience with frameworks such as TensorFlow or PyTorch, and knowledge of version control systems are commonly required. Strong problem-solving, analytical thinking, and effective communication skills help differentiate top performers in this role. These skills are crucial for developing accurate models, collaborating with multidisciplinary teams, and driving impactful AI solutions.

What are some common challenges faced by Associate Artificial Intelligence Machine Learning professionals in their first year, and how can they overcome them?

Associate AI/ML professionals often encounter challenges such as understanding complex datasets, adapting to rapidly evolving tools and frameworks, and bridging the gap between theoretical knowledge and practical application. Collaborating closely with senior team members, seeking mentorship, and participating in code reviews are effective ways to overcome these challenges. Additionally, staying updated with industry trends and continuously practicing model building on real-world problems can help associates gain confidence and accelerate their learning curve.

What is the difference between Associate Artificial Intelligence Machine Learning vs Data Scientist?

AspectAssociate Artificial Intelligence Machine LearningData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in ML/AIBachelor's/Master's in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, R&D labs, startupsData-driven organizations, consulting firms, tech companies
Employer & Industry UsageAI/ML teams, product developmentData analysis, predictive modeling, business insights
Common Search & ComparisonYesYes

Associate Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often with entry-level responsibilities. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require knowledge of programming and statistics, Data Scientists typically have more advanced degrees and focus on data analysis, whereas Associate AI/ML roles are more specialized in AI/ML model development.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Romeoville, IL?

The most popular types of Artificial Intelligence Machine Learning jobs in Romeoville, IL are:

What are popular job titles related to Associate Artificial Intelligence Machine Learning jobs in Romeoville, IL?

For Associate Artificial Intelligence Machine Learning jobs in Romeoville, IL, the most frequently searched job titles are:

What job categories do people searching Associate Artificial Intelligence Machine Learning jobs in Romeoville, IL look for?

The top searched job categories for Associate Artificial Intelligence Machine Learning jobs in Romeoville, IL are:

What cities near Romeoville, IL are hiring for Associate Artificial Intelligence Machine Learning jobs?

Cities near Romeoville, IL with the most Associate Artificial Intelligence Machine Learning job openings:

Infographic showing various Associate Artificial Intelligence Machine Learning job openings in Romeoville, IL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $135,671 per year, or $65.2 per hour.

Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate

Pwc

Chicago, IL • On-site

$61K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Risk Architecture

Management Level

Associate

Job Description & Summary

The Opportunity
As an Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Risk & Regulatory practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, applying data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale.
As an Associate, you will focus on learning and contributing to client engagements and projects, developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. In this role at PwC, you will design AI systems, engage in data wrangling, and implement software to enable scalable AI models, all while adapting to a fast-paced environment and diverse client needs. Embrace the opportunity to learn and grow, taking ownership of your development and consistently delivering work that drives value for our clients and success as a team.
Responsibilities
- Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
- Developing scalable data models and pipelines to support AI systems and enhance data integration
- Utilizing programming languages such as Python and machine learning libraries like TensorFlow and Scikit-Learn to build and deploy AI models
- Engaging in complex data analysis to identify patterns and inform decision-making processes
- Collaborating with team members to address client challenges and deliver quality solutions
- Applying natural language processing techniques to improve text analytics and sentiment analysis
- Building and maintaining data infrastructure to support AI and machine learning initiatives
- Participating in the development of open-source software solutions to advance AI capabilities
- Conducting data wrangling and preprocessing to prepare datasets for machine learning applications
- Contributing to the continuous improvement of AI systems through feedback and iterative development
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in Python and Scikit-Learn for machine learning tasks
- Utilizing TensorFlow and Neural Networks for advanced AI implementations
- Applying Natural Language Processing (NLP) techniques for text analytics
- Developing data pipelines and integration strategies for complex data environments
- Excelling in active listening and communication to enhance team collaboration

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $61,000 - $100,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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