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Data Curation Ai Machine Learning Jobs in Illinois

Experience in AI, machine learning, data science, predictive analytics, or intelligent automation preferred. * Experience developing and deploying machine learning or AI solutions in production ...

... experience curating and analyzing a broad range of trading-related data sources-including ... Familiarity with statistical and machine learning techniques * Exceptional attention to detail and ...

Machine Learning Engineer

Schaumburg, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... data driven decisions and insights at scale for millions of Paylocity users. As a Machine Learning ... Baking AI Ethics into all our processes as a first-class citizen (Blog Post) * Working in a ...

Data Scientist

Rosemont, IL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine ... Exposure to Geo Spatial Data, Demography Data * Experience with SQL Development, Stored Procedures ...

Data Scientist

Rosemont, IL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine ... Exposure to Geo Spatial Data, Demography Data * Experience with SQL Development, Stored Procedures ...

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

... data, using appropriate techniques and tools. Utilize knowledge of classical machine learning and deep learning algorithms to address specific problem domains. Apply ML/AI tools like TensorFlow ...

Experience with AI, machine learning, and predictive analytics concepts to enhance data product capabilities. * Experience working in agile product development environments. * Experience mentoring ...

Showing results 21-40

Data Curation Ai Machine Learning information

What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in Illinois?

For Data Curation Ai Machine Learning jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Data Curation Ai Machine Learning jobs in Illinois look for?

The top searched job categories for Data Curation Ai Machine Learning jobs in Illinois are:

What cities in Illinois are hiring for Data Curation Ai Machine Learning jobs?

Cities in Illinois with the most Data Curation Ai Machine Learning job openings:

Infographic showing various Data Curation Ai Machine Learning job openings in Illinois as of August 2026, with employment types broken down into 13% Internship, 62% Full Time, and 25% Contract. Highlights an 100% In-person job distribution.

AI & Decision Intelligence Director

Vizient

Chicago, IL

$135K - $236K/yr

Full-time

Posted 9 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, the AI & Decision Intelligence Director establishes and scales AI, machine learning, predictive analytics, and intelligent automation capabilities within Revenue Intelligence. The role identifies high-impact business opportunities, develops and deploys practical AI-driven solutions, and delivers capabilities that improve commercial decision-making, forecasting, customer intelligence, and organizational productivity.

Serving as the strategic leader and hands-on builder for AI and decision intelligence, this role translates business challenges into scalable solutions and partners with Marketing, Sales, Revenue Operations, Analytics, Technology, and other cross-functional teams to deliver measurable business value.

Responsibility:

Lead AI & Automation Innovation

  • Develop and execute the Revenue Intelligence AI, machine learning, and intelligent automation roadmap.
  • Identify, evaluate, and prioritize high-value AI and automation use cases across commercial functions.
  • Translate business challenges into scalable AI, machine learning, predictive analytics, and automation solutions.
  • Serve as a trusted advisor on emerging AI technologies and their practical business applications.

Build AI-Powered Intelligence Solutions

  • Design, develop, deploy, and monitor machine learning, predictive analytics, and AI-powered solutions in production environments.
  • Create forecasting, propensity, recommendation, customer intelligence, and decision-support models that improve commercial decision-making.
  • Build agentic AI and large language model (LLM)-powered applications and workflows that enhance productivity and insight generation.
  • Apply advanced analytics techniques to uncover opportunities and improve commercial outcomes.

Drive Intelligent Automation

  • Design and implement automation solutions that streamline insight generation, reporting, and decision-support processes.
  • Improve efficiency and productivity through scalable automation capabilities and repeatable delivery frameworks.

Deliver Business Impact

  • Establish AI, machine learning, and automation best practices and scalable delivery frameworks within Revenue Intelligence.
  • Partner cross-functionally to align solutions with strategic business priorities and measurable outcomes.
  • Measure adoption, performance, and value realization of AI and automation initiatives.
  • Manage external vendors and contractor resources supporting delivery efforts.

Qualifications

  • Relevant degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or a related field preferred.
  • 7 or more years of experience required.
  • Experience in AI, machine learning, data science, predictive analytics, or intelligent automation preferred.
  • Experience developing and deploying machine learning or AI solutions in production environments.
  • Experience building solutions using large language models (LLMs), agentic AI, and emerging AI technologies.
  • Experience with predictive modeling, forecasting, propensity modeling, recommendation models, customer intelligence, or decision-support capabilities.
  • Experience designing and implementing intelligent automation solutions that drive measurable business value.
  • Strong programming and analytical skills, including experience with Python, SQL, and modern analytics platforms.
  • Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to business stakeholders and executive leaders.
  • Ability to influence and collaborate effectively across functions and manage external vendors or consulting partners.
  • Experience working within large B2B organizations.
  • Experience with Azure AI, Azure OpenAI, Databricks, and Power Platform.
  • Experience building customer intelligence, recommendation, or decision intelligence platforms.
  • Experience working with commercial analytics, revenue intelligence, or go-to-market organizations.

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Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $135,200.00 to $236,600.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.