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Backend Engineer Python Aws

Chicago,IL

1147 Backend Engineer Python Aws jobs in Chicago,IL

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Entry Writer / Data Entry & PGA Specialist

American Shipping - Schaumburg, IL

American Shipping - Schaumburg, IL

Entry Writer / Data Entry & PGA Specialist
~ 41 min OnsiteHealth InsurancePaid Time OffRetirement Benefit
New, Posted 1 day ago
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Engineer - T&S Engineering Programs

ComEd

Villa Park, IL 60181

$84,800/yr
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Manufacturing Engineer

Heico

Chicago, IL 60630

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Ability to read and interpret engineering drawings and prints.
  • Ability to work independently on the production floor, communicate findings clearly, and influence peers and production staff without direct authority.
  • Strong written and verbal communication skills.
  • Organized, detail-oriented, and comfortable working in a fast-paced, hands-on manufacturing environment; proficient with Microsoft Office.
  • Demonstrated attention to quality standards in a production environment; understands the relationship between process discipline and product outcome.
  • Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, or a related technical discipline.
  • 3 - 6 years of experience in a manufacturing environment in a technical support capacity (IE, ME, process engineering, or equivalent).
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Engineering Manager - Retail Media Network

Ulta Beauty

Bolingbrook, IL 60440

$119,300-$175,000/yr
~ 46 min OnsiteHealth InsurancePaid Time Off

  • 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
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Sr Engineer-Distribution Capacity Planning

ComEd

Villa Park, IL 60181

$103,200/yr
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Senior Engineer - T&S Engineering Programs

Exelon

Villa Park, IL 60181

$103,200/yr
New, Posted 5 hours ago
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Software Engineer - AI Trainer

DataAnnotation

Chicago, IL

Flexible ScheduleBilingual Preferred
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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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Advanced Manufacturing - Industrial Engineer (REMOTE)

Dover Corporation

Downers Grove, IL 60515

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in industrial engineering (preferred) or Mechanical/Electrical Engineering with strong focus on manufacturing systems and assembly operations.
  • Minimum 5 years of experience in assembly-driven manufacturing environments, with a focus on flow optimization, line efficiency, and productivity improvement.
  • Proven experience designing and improving assembly lines, including line balancing, takt time definition, and labor optimization.
  • Strong expertise in material management and internal logistics systems, including PFEP (Plan for Every Part), Kanban, FIFO, and pull-based replenishment systems.
  • Demonstrated experience in analyzing and optimizing end-to-end material flow, including line-side delivery, part presentation, and WIP control.
  • Solid understanding of manufacturing and assembly processes, including workstation design, operator ergonomics, and one-piece flow implementation.
  • Hands-on experience with Value Stream Mapping (VSM), Cycle Time (CT) studies, and bottleneck analysis to drive flow efficiency and lead-time reduction.
  • Experience supporting industrialization and assembly line setup, including equipment specification, integration, and performance validation aligned with flow requirements.
  • Strong knowledge of Lean Manufacturing principles, with emphasis on flow, pull systems, waste elimination, and standard work in assembly environments.
  • Experience developing and sustaining standard work, visual management systems, and flow control mechanisms across production lines.
  • Excellent communication and collaboration skills, with ability to influence OpCo teams, production leaders, and supply chain stakeholders.
  • Ability to manage multiple priorities and deliver results in dynamic, fast-paced production environments.
  • Strong sense of ownership, accountability, and results orientation, with focus on operational execution and measurable impact.
  • Highly organized, with a structured and analytical approach to solving flow, material availability, and line performance challenges.
  • Data-driven mindset with the ability to develop scalable and practical solutions for assembly and material flow systems.
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IT Project Engineer

XL.Net

Chicago, IL 60629

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Senior Manufacturing Engineer

Lanco

Hazel Crest, IL 60429

Paid Relocation to Hazel Crest, IL

~ 39 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 5-10+ years of Engineering experience in heavy equipment or automotive including g., Manufacturing, Industrial, Mechanical Design, Process, Tooling, etc.
  • 3-5+ years of specialized Heavy Structural Steel Fabrication & Welding processes within Manufacturing Engineering
  • Implementation of Lean & CI with improved business metric results
  • Education: Bachelor's Degree in Engineering - Manufacturing, Industrial, or Mechanical
  • Travel: 10-15% to other manufacturing sites, suppliers, customers
  • ERP Systems for Routings and Bills of Material management
  • Data analysis, Excel, Power BI
  • Proficiency in 3D CAD software and 2D CAD plant layout
  • Physical: Ability to work on the shop floor for extended periods and lift 50 lbs.
SmartExplore AI is experimental.
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