789 Ai Data Scientist Intern jobs in Chicago,IL

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Engineering Intern

Nanophase Technologies Corporation

Bolingbrook, IL 60490

$19.50-$23/hr

~ 46 min Onsite

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

SmartExplore AI is experimental.

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Sales Representative - 4 Day Work Week

PLATINUM SUPPLEMENTAL INSURANCE

Summit, IL 60501

RemoteChat NowUrgently Hiring

18+
Comfortable with Travel: You're 18+ and ready for overnight travel Monday-Thursday within your assigned territory.

SmartExplore AI is experimental.

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Medical Laboratory Scientist Uncertified

Rush University Medical Center

Chicago, IL 60605

$27.47-$38.81/hr

New, Posted 1 day ago

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Sales Representative - 4 Day Work Week

PLATINUM SUPPLEMENTAL INSURANCE

Norridge, IL 60634

RemoteChat NowUrgently Hiring

18+
Comfortable with Travel: You're 18+ and ready for overnight travel Monday-Thursday within your assigned territory.

SmartExplore AI is experimental.

New, Posted 7 hours ago

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Manager, AI Engineer

KPMG

Chicago, IL 60629

OnsiteHealth InsuranceRetirement Benefit

Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
Knowledge of AI security, data privacy, governance, and ethical AI frameworks
Strong problem-solving skills with the ability to translate complex technical concepts for executives
Excellent verbal and written communication skills, with experience creating client-facing deliverables
Willingness and ability to travel
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity

SmartExplore AI is experimental.

New, Posted 7 hours ago

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Director, AI Engineer

KPMG

Chicago, IL 60629

OnsiteHealth InsuranceRetirement Benefit

Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations
Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation
Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices
Travel as needed
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.

New, Posted 10 hours ago

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Medical Laboratory Scientist (MLS) - Microbiology

Endeavor Health

Evanston, IL 60201

~ 28 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Education: Bachelor's or Associate's degree in a laboratory science or medical technology and/or the required courses to meet CLIA requirements for moderate to high complexity testing
Certification: MT or MLS (ASCP) preferred

SmartExplore AI is experimental.

New, Posted 1 day ago

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Director, Analytics, Data Engineering

Rise

Chicago, IL 60695

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field required.
Master's degree preferred.
Minimum of 10+ years of experience in data engineering, distributed systems, or enterprise data architecture.
Minimum of 5+ years designing large-scale cloud-based data platforms.
Demonstrated experience leading architectural strategy across multiple teams or business units.
Location: 4 days in office, Chicago or Sussex
This position is not eligible for visa sponsorship, including F-1 visa holders requiring CPT, OPT, or future H-1B sponsorship. Candidates must be authorized to work in the United States without current or future immigration sponsorship.
Experience in media, marketing analytics, or high-volume consumer data environments is a plus.
Knowledge of cloud-native data architectures, lakehouse and warehouse platforms, distributed computing (e.g., Spark), data orchestration frameworks, API-driven data integration, CI/CD for data platforms, and data lifecycle management and system interoperability.

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Clinical Laboratory Scientist

United States Army

Chicago, IL 60629

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Manager of Enterprise Systems Integration (On-Site)

Ace Hardware Corporation

Oak Brook, IL 60523

$158,400-$205,950/yr

~ 27 min OnsiteChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

10+ years of experience in systems integration engineering, with 3+ years in a formal people leadership role managing teams of 10+ FTE developers, including experience managing on/offshore staff augmentation consultants.
5+ years of hands-on experience with enterprise integration and data platform tooling, including Informatica (PowerCenter, DEI), IBM middleware (Sterling, Message Broker, APIC), Azure integration services (ADF, APIM), Hadoop, Databricks. Experience with Informatica, Hadoop and Databricks is required.
5+ years leading modernization initiatives transitioning enterprise environments from batch-processing to Event-Driven Architecture (EDA), with demonstrated emphasis on operational continuity during migration.
5+ years managing production integration systems at high volume, with a strong understanding of supply chain data requirements in a retail context; proficiency with enterprise ITSM tooling, for incident and change management.
Practical understanding of AI/ML as it applies to integration engineering - including AIOps tooling for intelligent monitoring and anomaly detection, integration patterns that support AI/ML data pipelines, and the governed use of AI-assisted development tools (including GitHub Copilot) within an engineering team.
Bachelor's degree in computer science or IS; excellent communication skills to facilitate technical alignment across IT.

SmartExplore AI is experimental.