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Engineer Analog Design Engineering

Chicago,IL

819 Engineer Analog Design Engineering jobs in Chicago,IL

New, Posted 15 hours ago
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General Engineer - T&S Engineering Programs

ComEd

Villa Park, IL 60181

$92,000/yr
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Senior Engineer - T&S Engineering Programs

Exelon

Villa Park, IL 60181

$103,200/yr
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Sr Engineer - Substation Engineer (Utilities)

ComEd

Villa Park, IL 60181

$103,200/yr
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Engineer

Powell Industries

Melrose Park, IL 60164

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Tool Maker / Precision Grinder

Dynomax

Arlington Heights, IL 60004

~ 36 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • Proficiency in Manual Surface Grinding
  • Hold a +/- .0001 tolerance for flatness/dimensions/slots/diameters
  • Ability to read and interpret GD&T; a plus
  • Ability to run manual mill, manual lathe, Prototrak mill, and other tool room equipment a plus
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Electrical Project Engineer - Healthcare

TLC Engineering Solutions

Oak Brook, IL 60523

Flexible Schedule
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We're Hiring Engineers at ZipRecruiter!

ZipRecruiter

Chicago, IL 60629

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BCG Platinion | Lead AI Tech Architect

Boston Consulting Group

Evanston, IL 60201

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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
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Director- Data Engineering

Covista

Lisle, IL 60532

HybridHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
  • Ten (10) plus years experience in enterprise data engineering, data platforms, or data architecture roles.
  • Five (5) plus years experience leading data engineering or data platform teams.
  • Deep experience with cloud data platforms (e.g., Google BigQuery, GCS), data catalog/governance tooling (e.g., Dataplex, Atlan), and integration/ELT tooling (e.g., Fivetran).
  • Proven track record in resource and capacity planning, technical delivery, and operational excellence.
  • Experience implementing platform governance, technical debt remediation, and upgrade strategies.
  • Strong stakeholder management skills with ability to work across business and technology domains.
  • Demonstrated leadership abilities.
  • Strong project management, process, technical and financial management knowledge.
  • Excellent written and oral communication skills.
  • Highly organized and able to manage multiple projects and multiple employees simultaneously.
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