797 Ai Engineer Enablement jobs in Chicago,IL

Currently pursuing a Bachelor's or master's degree in chemical, Mechanical, Industrial Engineering. Manufacturing Engineering or related field preferred.
Basic understanding of manufacturing processes and engineering principles
Strong analytical and problem-solving skills
Proficiency in Microsoft Office (Excel, Word, PowerPoint)
Strong attention to detail and organizational skills
Ability to work independently and as part of a team
Ability to work weekends or holidays when necessary
Location: Onsite Bolingbrook

Disability Solutions

Homewood, IL 60430

Element Solutions

Itasca, IL 60143

Bachelor's degree in a business-related field.
5-10 years' experience in procurement, preferred in a manufacturing environment.
Must be able to effectively communicate (read/write/speak) in English.
Experience with an ERP system, JD Edwards is a plus.
Knowledge of Kan-Ban/lean inventory principles a plus.
Strong analytical and financial acumen (cost modeling, PPV, TCO).
Good negotiating skills.
Experience working for a multinational corporation preferred.
Working knowledge of import/export regulations, including dangerous goods is a plus.

U.S. Navy

Palos Heights, IL 60463

Smiths Group

Morton Grove, IL 60053

KPMG

Chicago, IL 60642

Advanced Technology Services Careers

Bellwood, IL 60104

Ulta Beauty

Bolingbrook, IL 60440

B.S. in Computer Science or Computer Information Systems
8+ years experience in product development or related technical field
2+ years leading or managing technical teams, ideally within retail media, ad tech, or data platform environments
Experience with relevant tech stack including backend services built in Java, cloud‑native platforms on Google Cloud Platform (GCP), large‑scale analytics and reporting leveraging BigQuery, and integrations with third‑party ad tech and data platforms
Experience driving technical and analytical teams
Experience integrating platforms such as The Trade Desk, LiveRamp, Criteo, Citrus Ads and Google Ad Manager into RMN technology ecosystems
Experience implementing server-side tracking (CAPI) and identity frameworks (e.g., UID2)
Exposure to clean rooms and privacy-enhancing technologies
Experience building or integrating attribution models (MTA, MMM, incrementality)
Proven experience with agile (continuous delivery) and iterative methodologies
Solid experience with hybrid & cloud environments
Proven experience in eliciting requirements and enterprise automation
Solid experience writing product development requirements and architecture
Demonstrated experience in generating process modeling