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Data Curation Ai Machine Learning Jobs in Carol Stream, IL

Lead Data Engineer - GCP AI Architect

Chicago, IL · On-site

$144K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI & Machine Learning - Machine Learning model lifecycle - Natural Language Processing (NLP ... Data Engineer The base compensation range for this role in the posted location is: $144,890 - $190 ...

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 · On-site

  • 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 ...

... data-driven innovation aligned with corporate goals and emerging technologies in AI, predictive ... Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression ...

New

Director, Data and AI Platform Strategy

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

See Carol Stream, IL salary details

$46K

$134.2K

$183.6K

How much do data curation ai machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data curation ai machine learning in Carol Stream, IL is $134,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $142,200.00 per year, depending on experience, location, and employer.

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 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 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 cities near Carol Stream, IL are hiring for Data Curation Ai Machine Learning jobs?

Cities near Carol Stream, IL with the most Data Curation Ai Machine Learning job openings:

Infographic showing various Data Curation Ai Machine Learning job openings in Carol Stream, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $134,166 per year, or $64.5 per hour.

Lead Data Engineer - GCP AI Architect

Capgemini

Chicago, IL • On-site

$144K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

98th of 224 rated it services


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Location:
This is a hybrid role based in Chicao, IL.
About the Job You're Considering
We are seeking an experienced GCP AI Architect to lead the design, architecture, and implementation of enterprise-scale Artificial Intelligence (AI), Generative AI, Machine Learning (ML), and Data Analytics solutions on Google Cloud Platform (GCP). The ideal candidate will combine deep expertise in cloud architecture, AI/ML technologies, and business transformation to create scalable, secure, and responsible AI solutions that deliver measurable business value.
Your Role
  • AI & Generative AI Architecture
    - Design end-to-end AI, Generative AI, and ML solution architectures on GCP.
    - Define enterprise AI strategies, roadmaps, and reference architectures.
    - Architect Retrieval-Augmented Generation (RAG), Agentic AI, and AI-powered business applications.
    - Evaluate and select appropriate Foundation Models, Gemini models, and open-source LLMs.
    - Design prompt engineering, fine-tuning, grounding, and vector search strategies.
  • Google Cloud Architecture
    - Design scalable, secure, and highly available cloud-native architectures using:
    - Vertex AI
    - BigQuery
    - Cloud Storage
    - Cloud Run
    - Google Kubernetes Engine (GKE)
    - Dataflow
    - Pub/Sub
    - Cloud Functions
    - Define multi-region and disaster recovery strategies.
    - Ensure architectural alignment with enterprise cloud standards.
  • AI Platform & MLOps
    - Establish enterprise MLOps and LLMOps frameworks.
    - Design automated model development, deployment, monitoring, and governance pipelines.
    - Define model lifecycle management processes.
    - Implement CI/CD practices for AI solutions.
    - Monitor performance, model drift, and operational efficiency.
  • Data & Analytics Architecture
    - Design modern data architecture supporting AI initiatives.
    - Create data lakes, lakehouses, and enterprise analytics solutions.
    - Establish feature engineering and data preparation frameworks.
    - Define data quality, governance, lineage, and metadata management practices.
  • Security, Governance & Responsible AI
    - Define AI governance frameworks and policies.
    - Implement data privacy, compliance, and security controls.
    - Ensure Responsible AI principles including:
    - Fairness
    - Transparency
    - Explainability
    - Bias detection
    - Risk mitigation
    - Collaborate with security and compliance teams.

Skills and experience
  • 8+ years of experience in cloud architecture, software engineering, or data platforms.
  • 3+ years of experience designing AI/ML solutions on GCP.
  • Experience leading enterprise-scale cloud transformation programs.
  • Experience architecting Generative AI and LLM-based applications.
  • AI & Machine Learning
    - Machine Learning model lifecycle
    - Natural Language Processing (NLP)
    - Computer Vision
    - Generative AI
    - Large Language Models (LLMs)
    - Vertex AI Model Garden
    - Prompt Engineering
    - Fine-tuning Foundation Models
    - Vector Databases and Embeddings
    - RAG Architecture
    - AI Agents and Multi-Agent Systems
  • Preferred Certifications
    - Google Cloud Professional Cloud Architect
    - Google Cloud Professional Machine Learning Engineer
    - Google Cloud Professional Data Engineer

The base compensation range for this role in the posted location is: $144,890 - $190,117.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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