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Google Cloud Machine Learning Engineer Jobs in Michigan

Stefanini

Machine Learning Engineer

Dearborn, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach out to Navneet Pathak at / We are looking for candidates who will be responsible for predicting and ...

Stefanini

Senior Software Developer

Dearborn, MI · On-site

$50.25 - $66.25/hr

E.g., Hosting a regression model on Google Cloud Platform Vertex AIImplement decision engines or ... Machine Learning LanguageBackend experience in Java (Spring Boot) , Experience in application ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI For quick apply, please reach out to Lovkesh Bharti at / We are responsible for designing, building, and maintaining data ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

... Machine Learning (ML) concepts. • 3+ years designing, building, and managing Google Cloud ... programming in the JBOSS Enterprise SOA environment including JBOSS Workflow. • 3+ years using ...

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

... Google Cloud platform. • Experience with Python and have used Machine Learning algorithms ... DevOps etc. • Experience in creating an API service with Fast API / Flask. • Experience ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Stefanini

Cloud Engineer

Dearborn, MI · On-site

$51.25 - $68.50/hr

The ideal candidate will have strong expertise in Kubernetes, multi-cloud environments (AWS/Google Cloud Platform), Infrastructure as Code, automation, and platform engineering, with a focus on ...

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Google Cloud Machine Learning Engineer information

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

As of Jul 29, 2026, the average hourly pay for google cloud machine learning engineer in Michigan is $54.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $62.45 per hour, depending on experience, location, and employer.

What are Google Cloud Machine Learning Engineers?

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, and why are they important?

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 Michigan? The most popular types of Google Cloud Machine Learning Engineer jobs in Michigan are:
What are popular job titles related to Google Cloud Machine Learning Engineer jobs in Michigan? For Google Cloud Machine Learning Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Google Cloud Machine Learning Engineer jobs in Michigan look for? The top searched job categories for Google Cloud Machine Learning Engineer jobs in Michigan are:
What cities in Michigan are hiring for Google Cloud Machine Learning Engineer jobs? Cities in Michigan 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 Michigan as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $114,007 per year, or $54.8 per hour.

Machine Learning Engineer

Stefanini

Dearborn, MI • On-site

Other

Re-posted 16 days ago

Job description


Stefanini Group is hiring!
Stefanini is looking for a Machine Learning Engineer(Dearborn, MI)
For quick apply, please reach out to Navneet Pathak at /
We are looking for candidates who will be responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.
ResponsibilitiesUnderstand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness
Skills Required:Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science
Experience Required:5+ experience in relevant fieldUndertake statistical modeling, predictive analytics, and insight generation for the RAV platform Perform deep dive analyses on RAV vehicles to detect early indicators and recommend actions to prevent/mitigate RAV Execute quick turn studies for urgent business questions by mining, managing, and exploring large, high dimensional structured and unstructured datasets (e.g., RAV, quality, repair orders, repeat visits, parts orders/supply, service, warranty claims, recalls) Visualize validation results, analyses, and predictions using Power BI to deliver clear qualitative and quantitative insights Collaborate closely with architects, project managers, data engineers, software engineers, and other data scientists to test pipelines, validate outputs, and launch new platform capabilities and insights into production for maximum business value Communicate, present, and interpret analytical results to non technical audiences, cross functional teams, and leadership on a regular basis
Education RequiredMaster's Degree
Education PreferredDoctorate
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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