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Software Engineer Ai Model Training Jobs in Illinois

Knowledge of model-serving or evaluation infrastructure Why This Role at IMC * Impact at scale: Your work will help bring AI directly into production developer workflows * Growth: You'll gain hands ...

Knowledge of model-serving or evaluation infrastructure Why This Role at IMC * Impact at scale: Your work will help bring AI directly into production developer workflows * Growth: You'll gain hands ...

Senior Software Engineer - AI/ML

Chicago, IL · Hybrid

$126K - $166K/yr

Experienced in AI/ML model development and app design, specifically Vertex AI. * Experience with ... Preferred experience as an SDET or deep knowledge of test automation tools like Playwright, Cypress ...

Senior Software Engineer - AI/ML

Chicago, IL · On-site

$126K - $166K/yr

Experienced in AI/ML model development and app design, specifically Vertex AI. * Experience with ... Preferred experience as an SDET or deep knowledge of test automation tools like Playwright, Cypress ...

Showing results 21-40

Software Engineer Ai Model Training information

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What are popular job titles related to Software Engineer Ai Model Training jobs in Illinois?

For Software Engineer Ai Model Training jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ai Model Training jobs in Illinois look for?

The top searched job categories for Software Engineer Ai Model Training jobs in Illinois are:

What cities in Illinois are hiring for Software Engineer Ai Model Training jobs?

Cities in Illinois with the most Software Engineer Ai Model Training job openings:

Infographic showing various Software Engineer Ai Model Training job openings in Illinois as of August 2026, with employment types broken down into 80% Full Time, 5% Part Time, and 15% Contract. Highlights an 75% In-person, and 25% Remote job distribution.

Lead Product Software Engineer - AI

Wolters Kluwer

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Wolters Kluwer rating

9.1

Company rating: 9.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

25th of 245 rated software companies


Job description

**This is a Hybrid role requiring 2 days a week in a Wolters Kluwer office**

We're looking for a Lead Product Software Engineer - AI to join InnovateHub, our startup-within-the-enterprise that co-designs AI solutions with customers across Wolters Kluwer's Tax and Accounting product portfolio. You'll develop cutting-edge AI features that transform how accounting professionals work, focusing on real customer problems rather than technology-first solutions.

InnovateHub operates with close collaboration between engineers, product managers, UX designers, and researchers. Engineers deeply understand business problems, product managers rapidly prototype ideas, and designers and researchers translate user needs into elegant, evidence-based solutions. We work in fast feedback cycles, obsess over customer value, and blur traditional role boundaries to focus on solving the right problems. We practice Agile and XP methodologies with weekly sprints, BDD/TDD practices, and pair programming with daily rotation to support high team cohesion and knowledge sharing.

This role is ideal for someone who adapts quickly to new technologies, communicates effectively across teams, thrives in collaborative environments, and is passionate about human-centric AI solutions that deliver real value to professionals.

Key Responsibilities:

Customer-Centric Product Development: Co-design AI solutions with customers, focusing on real problems rather than technology-first approaches. Build human-centric AI features that deliver measurable value in fast feedback cycles.

Cross-Portfolio Innovation: Work across TAA's product portfolio, enabling other teams while building AI solutions that can be applied to multiple products and customer segments.

Technical Leadership: Design and implement AI features using Python and modern frameworks. Build intelligent document processing, automated workflows, and AI-powered analytics with a focus on security, product experience, and scalability.

Close Collaboration: Work in InnovateHub's collaborative model where engineers understand business problems as deeply as technical solutions, partnering closely with product managers who prototype their own ideas.

Requirements:

Technical Foundation:

  • 5+ years building software applications (experience with Python, JavaScript/TypeScript preferred)

  • 1+ years hands-on experience with LLMs or AI systems (NLP preferred)

  • Full-stack development capabilities

  • Experience with Agile/XP practices including TDD/BDD and pair programming

  • Proficiency with AI coding tools (GitHub Copilot, Cursor, or similar)

  • Regular use of GenAI utilities (ChatGPT, Claude, etc.) for development workflow

Technical Project Leadership:

  • 3+ years leading complex technical projects from inception to delivery

  • Experience working in startup-like environments or innovation teams

  • Comfort working in collaborative, fast-paced Agile environments with weekly sprints and blurred (but aligned) role boundaries

AI/ML Experience:

  • Working knowledge of AI/ML frameworks (LangChain, Hugging Face, OpenAI APIs)

  • Experience with vector databases and embeddings

  • Understanding of prompt engineering and AI optimization

Communication Skills: Ability to explain technical concepts to non-technical stakeholders and drive adoption of new technologies across teams.

Preferred Qualifications:

  • Microsoft Azure AI-102 certification is highly desired - our team is 100% certified and we value this demonstration of Azure AI expertise

  • Experience with Azure AI services, advanced AI frameworks, or multi-modal AI systems

  • Background in dynamic environments like startups, innovation teams, or product-focused companies that prioritize customer co-design and rapid value delivery

  • Experience with document processing, financial data analysis, or B2B professional software

  • Experience with MLOps, AI governance, or cross-portfolio AI implementations, particularly in regulated/compliance-driven environments

  • Experience with RAG (Retrieval-Augmented Generation)

  • Understanding of UX/UI

We encourage applications from candidates with diverse backgrounds who have strong technical skills, project leadership experience, and can adapt quickly to new challenges in a customer-focused, innovation-driven environment.

Our Culture:
At Wolters Kluwer, our core values-Focus on Customer Success, Make it Better, Aim High and Deliver, and Win as a Team-guide everything we do. We are committed to driving success for our customers by delivering innovative solutions that exceed expectations. We continually strive to improve our processes and products, aiming for excellence in all our efforts. Collaboration and teamwork are central to our culture, enabling us to achieve great results together.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$116,400.00 - $204,075.00 USD

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


What Wolters Kluwer employees say

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Benefits

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About Wolters Kluwer

Sourced by ZipRecruiter

Wolters Kluwer Global Business Services is designed to provide services to the business units in the areas of technology, sourcing, procurement, legal, finance, and accounting which includes our North American-Accounting Center. These global centers promote team collaboration using best practices around a specific focus area to drive results and enhance operational efficiencies. There is a constant endeavor to benchmark against best-in-class industry standards to improve the quality of deliverables, increase cost savings, enhance productivity, and reduce time to market for products and applications

Industry

Accounting services, library and information services and it services

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US