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Google Cloud Machine Learning Engineer Jobs in Pleasant Prairie, WI

Varsity Tutors

Machine Learning Tutor

Lake Forest, IL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Buffalo Grove, IL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

AbbVie

Engineer, Technology II

North Chicago, IL · On-site

$84K/yr

... cloud environments). Develop and maintain modern applications using technologies such as C#, Python ... Utilize AI tools, machine learning techniques, and modern software engineering methodologies to ...

AbbVie

Engineer, Technology II

North Chicago, IL · On-site +1

... cloud environments). Develop and maintain modern applications using technologies such as C#, Python ... Utilize AI tools, machine learning techniques, and modern software engineering methodologies to ...

AbbVie

Engineer, Technology II

North Chicago, IL · On-site +1

... cloud environments). Develop and maintain modern applications using technologies such as C#, Python ... Utilize AI tools, machine learning techniques, and modern software engineering methodologies to ...

Aquabyte

Embedded Software Engineer

Mundelein, IL

$130K - $190K/yr

We work closely with the machine learning team to help move their algorithms safely from the cloud ... Engineering or CS degree. * Software development on an embedded device * Experience writing and ...

IT America Inc

Networking Cloud Engineering

Libertyville, IL · On-site

$54.25 - $72.50/hr

Networking Cloud Engineering Location: Libertyville, IL (Onsite) Duration: Contract to Hire Cloud ... Azure Virtual Machines, App Services, AKS, Functions, Storage, Monitor * Develop, Design and ...

Grainger Businesses

Data Engineer III

Lake Forest, IL · Hybrid

$104K - $174K/yr

This role reports to a Senior Manager of Machine Learning Engineering and partners closely with ... Develop junior team members through modern cloud-based development. * Translate requirements into ...

ECHO

Software Engineer Manager

Lake Zurich, IL · On-site +1

$165K - $180K/yr

Foster a culture of accountability, innovation, collaboration, continuous learning, and engineering ... Experience with cloud platforms such as Azure, AWS, or Google Cloud (Preferably Azure). * Proven ...

ECHOorporated

Software Engineer Manager

Lake Zurich, IL · Hybrid

$165K - $180K/yr

Foster a culture of accountability, innovation, collaboration, continuous learning, and engineering ... Experience with cloud platforms such as Azure, AWS, or Google Cloud (Preferably Azure). * Proven ...

Cliftonlarsonallen

Lead ML Ops Engineer

Racine, WI

$96K - $126K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend ... Strong experience with cloud architecture, security, compliance, and enterprisescale deployments.

Echo Incorporated

Software Engineer Manager

Lake Zurich, IL · On-site

$165 - $180/hr

Foster a culture of accountability, innovation, collaboration, continuous learning, and engineering ... Experience with cloud platforms such as Azure, AWS, or Google Cloud (Preferably Azure). * Proven ...

STERIS Corporation

Senior Software Engineer

Vernon Hills, IL · Hybrid

$119K - $157K/yr

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus. * Exposure to AI-assisted development tools and modern engineering productivity practices. Other: * Excellent problem ...

Steris Corporation

Senior Software Engineer

Vernon Hills, IL · On-site

$119K - $157K/yr

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus. * Exposure to AI-assisted development tools and modern engineering productivity practices. Other: * Excellent problem ...

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Showing results 21-40

All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Pleasant Prairie, WI

Google Cloud Machine Learning Engineer information

See Pleasant Prairie, WI salary details

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

As of Aug 9, 2026, the average hourly pay for google cloud machine learning engineer in Pleasant Prairie, WI is $60.95, according to ZipRecruiter salary data. Most workers in this role earn between $51.97 and $69.42 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 cities near Pleasant Prairie, WI are hiring for Google Cloud Machine Learning Engineer jobs? Cities near Pleasant Prairie, WI 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 Pleasant Prairie, WI 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 $126,769 per year, or $60.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kenosha, WI • On-site

Other

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply