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Manager Edge Ai Machine Learning Jobs in Illinois

Whiztek Corp

AI Engineer

Schaumburg, IL · On-site

Role: Agentic AI/AI Engineer - Generative AI & Machine Learning Location: Schaumburg, IL (Hybrid ... edge technologies and evolving in a fast-paced environment. Key Responsibilities: * Develop ...

Whiztek Corp

Gen AI Engineer (W2)

Schaumburg, IL · On-site

Role: Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Schaumburg, IL ... edge technologies and evolving in a fast-paced environment. Key Responsibilities: * Develop ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Baking AI Ethics into all our processes as a first-class citizen (Blog Post) * Working in a ... Excited to work on cutting-edge technology! Primary Responsibilities The below represents the ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Baking AI Ethics into all of our processes as a first-class citizen (Blog Post) * Working in a ... Excited to work on cutting-edge technology! Primary Responsibilities The below represents the ...

TSMG

AI/ML Data Contributor

Chicago, IL · On-site

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

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Manager Edge Ai Machine Learning information

What is the difference between Manager Edge Ai Machine Learning vs Data Scientist?

AspectManager Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in data analysis or ML
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in AI/ML applicationsAnalyzes data, develops models, and provides insights, often working independently or in teams
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

While both roles involve AI and machine learning, the Manager Edge Ai Machine Learning focuses on leading teams and managing AI projects, whereas Data Scientists primarily analyze data and develop models. The manager role emphasizes leadership and project oversight, while Data Scientists concentrate on technical analysis and model development.

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AI Engineer

Whiztek Corp

Schaumburg, IL • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Role: Agentic AI/AI Engineer - Generative AI & Machine Learning

Location: Schaumburg, IL (Hybrid – 3 Days Onsite per Week)

Long Term W2

Job Summary:

We are seeking a highly motivated and adaptable AI Engineer to join our innovative team. The ideal candidate will have a strong background in both Generative AI and traditional Machine Learning, with a proven ability to work on existing applications and develop new solutions. You will play a key role in migrating and enhancing our AI-driven projects, leveraging Large Language Models (LLMs), and building intelligent agents. This is an exciting opportunity for a forward-thinking engineer who is passionate about experimenting with cutting-edge technologies and evolving in a fast-paced environment.

Key Responsibilities:

  • Develop, maintain, and enhance existing applications that utilize both Generative AI and traditional Machine Learning.
  • Work extensively with Large Language Models (LLMs) to build and refine AI-powered features.
  • Design, create, and deploy intelligent agents to automate and optimize processes.
  • Collaborate with stakeholders to understand and translate business requirements into technical specifications for AI engineering projects.
  • Conduct experiments, implement new technologies, and contribute to the rapid evolution of our AI capabilities.
  • Lead the migration of existing projects, including those with agents and LLMs, to our Google Cloud Platform (Google Cloud Platform) environment.
  • Engage in full-stack development, with a focus on Python for backend services and React for frontend interfaces.
  • Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases.

Required Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • A minimum of 2-3 years of professional experience in an AI or Machine Learning engineering role.
  • Experience with Python is a must.
  • Demonstrated experience with concepts such as MCP, RAG, Semantic search, Generative AI, LLMs, and building agent-based systems.
  • Ability to stay up to date with new and upcoming technologies around AI development (ex: Agentic RAG)
  • Strong proficiency in Python for backend development and machine learning.
  • Solid experience with React for frontend development.
  • Expertise in SQL and experience working with relational databases such as MS SQL Server and MySQL.
  • Hands-on experience with Google Cloud Platform AI/ML services, including BigQuery, Google SQL and other technologies and APIs within Google Cloud Platform.
  • Ability to quickly grasp new requirements, experiment with new technologies, and adapt to a rapidly changing environment.
  • Experience in taking over existing AI/ML applications from other teams.
  • Estimate at a high-level cost of usage in Google Cloud Platform for applications hosted/deployed  
  • Familiar with functional and non-functional testing of AI/ML applications and operationalizing it in production 

Other Qualifications:

  • Familiarity with Amazon Web Services (AWS), LLM models trending in the industry.
  • A portfolio of projects demonstrating your expertise in AI and full-stack development. 

Apply