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Home Based Numerical Methods Jobs in Chicago, IL

CPJ Recruitment

CUSTOMER CARE ASSISTANT

Chicago, IL · On-site

$925 - $1.2K/wk

  • Medical

  • Vision

  • Life

  • Retirement

... large number of Customer Care Assistants who can type fast with speed, attend clients online ... Monday to Friday 5) Home Based Part (GREAT FOR RETIREES, YOUNG ADULTS OR UNEMPLOYED INDIVIDUALS) 6) ...

DQS

Contract Aerospace Lead Auditor

Schaumburg, IL · On-site

Ability to work in a virtual home-based environment. * Knowledge of principles and methods for management systems audits. * ISO-9001 and AS9100 auditing with 3rdparty experience is a must- MUST ...

DQS

Contract Aerospace Lead Auditor

Schaumburg, IL · On-site +1

Ability to work in a virtual home-based environment. * Knowledge of principles and methods for management systems audits. * ISO-9001 and AS9100 auditing with 3rd party experience is a must- MUST ...

Akuna Capital

Quant Strategist

Chicago, IL · On-site

$145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Deep understanding of fields such as Linear Algebra, Numerical Methods, Statistics, Optimization ... Exact compensation offered may vary based on many factors including, but not limited to, the ...

Akuna Capital

Quant Strategist

Chicago, IL · On-site

$145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Deep understanding of fields such as Linear Algebra, Numerical Methods, Statistics, Optimization ... Exact compensation offered may vary based on many factors including, but not limited to, the ...

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Senior Cloud AI Solutions Consultant

Co-Sourcing Partners

Chicago, IL • On-site

Full-time

Re-posted 28 days ago

Job description

Job Title : Senior Cloud AI Solutions Consultant (.NET / Azure)
Duration : 12 Months
Location : Chicago - Remote
Role Summary
We are seeking a senior, client-facing Cloud AI Solutions Consultant who can lead technical design, make architecture decisions, and deliver production-ready cloud solutions that incorporate LLM and AI capabilities. This role requires strong C#/.NET engineering skills, hands-on Azure cloud experience, and the ability to independently guide clients and delivery teams from design through implementation.
This is not a research or prototype role. You will work on real production systems, integrating AI capabilities into existing applications while ensuring scalability, reliability, and maintainability.
If you are a senior .NET engineer with Azure experience who has implemented AI/LLM capabilities in real production systems and can confidently lead client design conversations, this role is for you.
What You Will Do
  • Lead client and internal design sessions, providing clear technical direction on architecture, performance, scalability, availability, and reuse
  • Design and build cloud-native solutions in Azure using C#/.NET
  • Integrate LLM and AI capabilities into existing production applications, including evaluation of accuracy, cost, latency, and suitability by use case
  • Collaborate with engineers to implement designs efficiently within established production environments
  • Establish and enforce coding standards, architectural patterns, and CI/CD practices
  • Improve team efficiency through reusable components, shared patterns, and pragmatic automation
  • Provide clear, confident technical recommendations to clients and project leadership
Required Experience
  • Bachelor's degree in computer science, Engineering, or equivalent practical experience
  • 4+ years of professional software development experience
  • 4+ years of hands-on C#/.NET development in production environments
  • Experience designing and deploying solutions on Azure (other major cloud platforms acceptable)
  • Proven experience integrating LLM or AI capabilities into cloud-based applications
  • Experience with Azure DevOps pipelines and modern CI/CD practices
  • Ability to work independently, own technical decisions, and operate with minimal oversight
Nice to Have
  • Experience evaluating LLM performance using testing or numerical methods
  • Familiarity with intelligent automation platforms or patterns
  • Experience with Microsoft Power Platform
What This Role Is Not
  • Not a data science or research role
  • Not a junior or mentorship-only position
  • Not focused on model training or academic ML work
Core Competencies
  • Strong architectural judgment and problem-solving skills
  • Clear and confident communication with technical and non-technical stakeholders
  • Proven leadership in improving engineering efficiency and code quality
  • Practical, outcome-focused approach to AI and cloud solutions

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