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Google Cloud Machine Learning Engineer Jobs in Chicago, IL

Paylocity

Machine Learning Engineer

Schaumburg, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Description: Paylocity is an award-winning provider of cloud-based HR and payroll software ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

TEKsystems

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Cloud engineering experience is required. - Thinks systematically. - Open to remote, hybrid, or ... Applying the latest techniques and approaches across the domains of data science, machine learning ...

Whiztek Corp

AI Engineer

Schaumburg, IL · On-site

Role: Agentic AI/AI Engineer - Generative AI & Machine Learning Location: Schaumburg, IL (Hybrid ... Lead the migration of existing projects, including those with agents and LLMs, to our Google Cloud ...

Paylocity

Staff Machine Learning Engineer

Schaumburg, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Description: Paylocity is an award-winning provider of cloud-based HR and payroll software ... Our machine learning engineering team is responsible for developing infrastructure and tooling to ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Description: Paylocity is an award-winning provider of cloud-based HR and payroll software ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Description: Paylocity is an award-winning provider of cloud-based HR and payroll software ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Whiztek Corp

Gen AI Engineer (W2)

Schaumburg, IL · On-site

Role: Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Schaumburg, IL ... Lead the migration of existing projects, including those with agents and LLMs, to our Google Cloud ...

New

Accenture LLP

Google Cloud (AGBG) Sales Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

To accelerate our customers transformation leveraging cloud, we combine world-class learning and ... and engineering best practices * Deep expertise across the Google Cloud Platform ecosystem ...

New

Accenture

Google Cloud (AGBG) Sales Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Accenture Google Business Group (AGBG) focuses on Cloud solutions leveraging Google's Cloud ... To accelerate our customers transformation leveraging cloud, we combine world-class learning and ...

Referrals Only

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end ... You have hands-on experience with on-premise and cloud services for building and deploying ML ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

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All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Chicago, IL

Google Cloud Machine Learning Engineer information

See Chicago, IL salary details

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How much do google cloud machine learning engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for google cloud machine learning engineer in Chicago, IL is $64.83, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $73.85 per hour, depending on experience, location, and employer.

What is a Google Cloud Machine Learning engineer?

Google Cloud Machine Learning Engineers are professionals who design, build, and deploy machine learning models using Google Cloud Platform (GCP) services and tools. They work with large datasets, develop scalable ML solutions, and collaborate with data scientists and software engineers. Their role often includes automating data pipelines, optimizing model performance, and ensuring the reliability and security of ML deployments on the cloud. These engineers have expertise in both machine learning algorithms and cloud infrastructure, making them key contributors to data-driven projects.

What are the key skills and qualifications needed to thrive as a Google Cloud Machine Learning engineer?

To thrive as a Google Cloud Machine Learning Engineer, you need strong programming skills in Python or Java, a deep understanding of machine learning algorithms, and a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, TensorFlow, and relevant certifications like the Professional Machine Learning Engineer certification is highly valuable. Excellent problem-solving abilities, collaboration, and clear communication make someone stand out in this position. These skills and qualities are critical for designing, deploying, and optimizing scalable ML solutions that meet business objectives in cloud environments.

What is the difference between Google Cloud Machine Learning Engineer vs Data Scientist?

AspectGoogle Cloud Machine Learning EngineerData Scientist
Required CredentialsGoogle Cloud certifications, programming skills, ML knowledgeStatistics, data analysis, programming, often with advanced degrees
Work EnvironmentCloud platforms, coding, deploying ML modelsData analysis, modeling, reporting, often in research or business settings
Employer & Industry UsageTech companies, cloud service providers, enterprises using Google CloudVarious industries including finance, healthcare, marketing, research

Google Cloud Machine Learning Engineers focus on developing and deploying ML models on Google Cloud, requiring cloud certifications and coding skills. Data Scientists analyze data, build models, and generate insights, often with advanced degrees. While both roles work with data and ML, the Engineer role emphasizes cloud deployment and infrastructure, whereas Data Scientists focus on data analysis and modeling.

What are some typical cross-functional collaborations for a Google Cloud Machine Learning engineer?

As a Google Cloud Machine Learning Engineer, you'll frequently work alongside data scientists, software engineers, and product managers to design, deploy, and maintain machine learning solutions at scale. Collaboration often involves translating business requirements into machine learning pipelines, integrating models into cloud-based applications, and ensuring that solutions are robust, secure, and scalable. Regular communication with DevOps and infrastructure teams is also common to optimize model deployment and monitor performance. This cross-disciplinary teamwork is crucial for delivering impactful, production-ready AI solutions.

What are the most commonly searched types of Google Cloud Machine Learning Engineer jobs in Chicago, IL?

The most popular types of Google Cloud Machine Learning Engineer jobs in Chicago, IL are:

What are popular job titles related to Google Cloud Machine Learning Engineer jobs in Chicago, IL?

For Google Cloud Machine Learning Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Google Cloud Machine Learning Engineer jobs in Chicago, IL look for?

The top searched job categories for Google Cloud Machine Learning Engineer jobs in Chicago, IL are:

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Cities near Chicago, IL with the most Google Cloud Machine Learning Engineer job openings:

Google Cloud Machine Learning Engineer jobs near you
Infographic showing various Google Cloud Machine Learning Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $134,745 per year, or $64.8 per hour.

AI Engineer - LangGraph, Dialogflow, and Google Cloud - Schaumburg, IL - Contract opportunity

Zodiac Solutions

Schaumburg, IL • On-site

$59 - $76.50/hr

Contractor

Re-posted 25 days ago

Job description

Job Title: AI Engineer – LangGraph, Dialogflow, and Google Cloud

Location:  Schaumburg, IL - hybrid 3 days a week

Duration: 6 Months contract to hire

( preferably local candidates only )

We are seeking a highly skilled AI Engineer to design, develop, and deploy intelligent conversational and workflow automation systems using LangGraph, Google Dialogflow, and Google Cloud Platform (GCP). The ideal candidate will have strong experience building AI-driven solutions that integrate natural language understanding, context management, and multi-step logic orchestration.

You’ll collaborate closely with product managers, developers, and data teams to deliver scalable, efficient, and intuitive AI experiences through Google Chat and related platforms.

Key Responsibilities

  • Design, implement, and optimize conversational AI agents using LangGraph for workflow logic and Dialogflow (CX/ES) for dialogue management.
  • Integrate AI workflows with Google Chat to support automated conversations, task execution, and real-time user interaction.
  • Develop and maintain backend integrations with APIs, databases, and Google Cloud services such as Cloud Functions, Vertex AI, Pub/Sub, and Firestore.
  • Collaborate with cross-functional teams to define, test, and deploy new AI-driven features and improve existing dialogue flows.
  • Optimize system performance and scalability using GCP services and best practices in AI and cloud architecture.
  • Monitor and continuously improve AI accuracy through data-driven evaluation, logging, and fine-tuning of models and conversation paths.
  • Stay updated with the latest in conversational AI frameworks, Google Cloud tools, and LLM-based orchestration (LangChain, LangGraph, etc.).

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
  • 8+ years of experience as an AI Engineer, Conversational AI Developer, or similar role.
  • Hands-on experience with LangGraph (or LangChain) for building LLM-powered flow orchestration.
  • Proven experience developing bots on Google Chat, Dialogflow CX/ES, and integrating workflows using Google Cloud Functions or REST APIs.
  • Solid understanding of Google Cloud Platform (GCP) components such as Vertex AI, BigQuery, Cloud Run, IAM, and API Gateway.
  • Strong coding skills in Python or Node.js, with experience in building and deploying AI or ML applications.
  • Familiarity with prompt engineering, LLM lifecycle management, and embedding/vector store integration.

Preferred Qualifications

  • Experience using Vertex AI Agent Builder or other Google Cloud AI tools.
  • Knowledge of LangGraph and flow-based orchestration for coordinating multiple AI tools and APIs.
  • Strong understanding of conversational design principles and UX for chat-based applications.
  • Exposure to LLMs (like Gemini, GPT, or Claude) and designing multi-turn interactive agents.
  • Google Cloud certification (e.g., Professional Cloud Developer, Machine Learning Engineer) is a plus.

Soft Skills

  • Excellent problem-solving and debugging abilities.
  • Strong communication and teamwork skills.
  • Ability to work independently and manage multiple projects simultaneously.
  • Curiosity and enthusiasm for AI research and applied innovation.
 
Thanks,
sanjay kumar
sanjay.kumar@zodiac-solutions.com
linkedin.com/in/sanjay-kumar-sann-841825172