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Full Time Artificial Intelligence Machine Learning Jobs in Illinois

Pwc

Tax Innovation - AI Engineer - Manager

Chicago, IL

$99K - $266K/yr

Certifications aligned to artificial intelligence, machine learning, data engineering, or cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI ...

New

DRW

AI Engineer

Chicago, IL · On-site

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 ...

MNF Global

EE/CS Patent Agent

Chicago, IL · On-site

$140K - $240K/yr

Preferred experience includes patent prosecution in Artificial Intelligence , Machine Learning , 5G-Telecom , Robotics and Semiconductor Manufacturing and Packaging . This opportunity is presented by ...

Until

Machine Learning Engineer / Scientist

Mundelein, IL · On-site

$140K - $240K/yr

About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Baxter & Woodman

Digital Water Engineer I

Chicago, IL

$74K - $90K/yr

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

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$70K - $82K/yr

No Standard Hours per Week 40.00 Full Time or Part Time? Full Time Shift Day Work Schedule Summary ... artificial intelligence and machine learning to energy systems. The position will involve ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$70K - $82K/yr

No Standard Hours per Week 40.00 Full Time or Part Time? Full Time Shift Day Work Schedule Summary ... artificial intelligence and machine learning to energy systems. The position will involve ...

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All JobsArtificial Intelligence Machine Learning JobsFull Time Artificial Intelligence Machine Learning JobsFull Time Artificial Intelligence Machine Learning Jobs in Illinois

Full Time Artificial Intelligence Machine Learning information

What is a full time artificial intelligence machine learning?

A Full Time Artificial Intelligence Machine Learning job typically involves working as a specialist or engineer who develops, implements, and maintains AI and machine learning models. This role may include tasks such as data preprocessing, building predictive algorithms, optimizing model performance, and collaborating with cross-functional teams to solve real-world problems using AI. Professionals in this field usually work with large datasets, programming languages like Python, and frameworks such as TensorFlow or PyTorch. Full-time positions generally require a background in computer science, mathematics, or a related field, and often involve ongoing learning to keep up with rapidly evolving technologies.

What are some common challenges faced by professionals in full time artificial intelligence machine learning roles, and how can they be addressed?

Professionals in full-time AI and Machine Learning roles often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and keeping up with rapid technological advancements. Additionally, collaborating with cross-functional teams to translate business needs into technical solutions can be demanding. To address these challenges, it is crucial to stay updated with the latest research, leverage robust data preprocessing techniques, and maintain open communication with stakeholders. Regularly participating in team meetings and knowledge-sharing sessions also helps in overcoming obstacles and fostering innovation.

What are the key skills and qualifications needed to thrive as a full time artificial intelligence machine learning professional, and why are they important?

To thrive as a Full Time Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, programming (especially Python), and a relevant degree such as computer science or data science. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), cloud platforms (AWS, Azure), and relevant certifications are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and innovate within diverse teams. These competencies are essential for developing robust AI solutions and staying current in a rapidly evolving field.

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

AspectFull Time Artificial Intelligence Machine LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in ML/AIDegree in Statistics, Computer Science, or related fields; certifications in data analysis
Work EnvironmentTech companies, research labs, startups; focus on developing AI/ML modelsBusiness environments, consulting firms; focus on data analysis and insights
Employer & Industry UsagePrimarily in tech, finance, healthcare, and research sectorsAcross industries like marketing, finance, healthcare, and e-commerce

While both roles involve working with data, Full Time Artificial Intelligence Machine Learning specialists focus on developing and deploying AI/ML models, whereas Data Scientists analyze data to generate insights. The roles often overlap but differ in their primary objectives and skill sets.

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

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

What cities in Illinois are hiring for Full Time Artificial Intelligence Machine Learning jobs?

Cities in Illinois with the most Full Time Artificial Intelligence Machine Learning job openings:

Full Time Artificial Intelligence Machine Learning jobs near you

Tax Innovation - AI Engineer - Manager

Pwc

Chicago, IL

$99K - $266K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

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

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity

As a Tax Innovation - Artificial Intelligence Engineer, you will lead the design, development, and deployment of AI solutions to enhance performance and capabilities within our Tax practice. You will oversee client engagement workstreams, guide multidisciplinary teams, and translate complex business needs into scalable, production-ready AI solutions. As a Manager, you will leverage your technical and leadership skills to mentor junior staff, manage projects, and navigate ambiguity while upholding PwC's quality standards.

In this role at PwC, you will focus on building AI solutions using foundation models, machine learning, agentic systems, retrieval technologies, and modern software engineering practices. You will guide teams through solution design, experimentation, integration, deployment, and ongoing optimization while addressing security, compliance, data quality, and auditability requirements. Your intellectual curiosity and ability to embrace technology and innovation will help drive quality delivery and identify new opportunities for our clients and firm.

Responsibilities

- Leading the design, development, and deployment of scalable AI and GenAI solutions
- Translating business requirements into secure, production-ready AI architectures and applications
- Applying foundation models, machine learning, natural language processing, retrieval, and agentic technologies to solution design
- Leading experimentation and evaluation to validate solution feasibility, quality, and performance
- Designing data, knowledge, and retrieval solutions, including data integration, document processing, vector search, and retrieval-augmented generation
- Developing AI applications using Python, APIs, and modern software engineering practices
- Implementing agentic workflows, orchestration patterns, and human-in-the-loop controls
- Applying MLOps and LLMOps practices to support deployment, monitoring, quality measurement, and optimization
- Confirming AI solutions meet security, privacy, compliance, Responsible AI, data quality, and auditability requirements
- Collaborating with stakeholders to identify business and data challenges and refine solutions
- Managing project workstreams and guiding teams through complex delivery challenges
- Coaching and providing feedback to team members to support skill development and performance

What You Must Have

- At least a Bachelor's degree
- At least 4 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 artificial intelligence, machine learning, data engineering, or cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation, Generative AI, and Machine Learning
- Applying foundation models, Natural Language Processing, and Retrieval-Augmented Generation techniques
- Utilizing Python to develop AI applications and integrate APIs
- Developing agentic solutions and orchestration workflows
- Applying data integration, modeling, and retrieval techniques to enterprise AI solutions
- Implementing MLOps and LLMOps practices for production AI systems
- Applying security, Responsible AI, compliance, and data quality requirements
- Leading AI engineering workstreams and coaching teams through solution delivery

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $99,000 - $266,000. 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.

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

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