Menomonee Falls, WI · On-site
$97K - $134K/yr
... a Machine Learning Engineer with a proven track record of successful project delivery * In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI ...
Menomonee Falls, WI · On-site
$97K - $134K/yr
... a Machine Learning Engineer with a proven track record of successful project delivery * In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI ...
In this role you will support the identification and implementation of machine learning solutions across the Operations Business Unit. This engineer will work with the guidance of Operations team ...
In this role you will support the identification and implementation of machine learning solutions across the Operations Business Unit. This engineer will work with the guidance of Operations team ...
Franklin, WI · On-site
In this role you will support the identification and implementation of machine learning solutions across the Operations Business Unit. This engineer will work with the guidance of Operations team ...
Franklin, WI · On-site
In this role you will support the identification and implementation of machine learning solutions across the Operations Business Unit. This engineer will work with the guidance of Operations team ...
As a Machine Learning Engineer I, you will lead the deployment of machine learning models, collaborating with cross-functional teams to enhance product development and implementation. This role ...
As a Machine Learning Engineer I, you will lead the deployment of machine learning models, collaborating with cross-functional teams to enhance product development and implementation. This role ...
As a Machine Learning Engineer, you will deploy machine learning models and collaborate with cross-functional teams to enhance power tool solutions, while ensuring project clarity and ownership.
As a Machine Learning Engineer, you will deploy machine learning models and collaborate with cross-functional teams to enhance power tool solutions, while ensuring project clarity and ownership.
As a Machine Learning Engineer II, you will be responsible for creating and validating machine learning models while collaborating with cross-functional teams to enhance power tool solutions.
As a Machine Learning Engineer II, you will be responsible for creating and validating machine learning models while collaborating with cross-functional teams to enhance power tool solutions.
Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to ...
Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to ...
The Machine Learning Engineer II will create and validate machine learning models, innovate solutions for power tools, and collaborate with cross-functional teams to enhance user experiences.
The Machine Learning Engineer II will create and validate machine learning models, innovate solutions for power tools, and collaborate with cross-functional teams to enhance user experiences.
Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to ...
Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to ...
Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to ...
Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
New
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
New
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Google Cloud Platform Cloud Platform Engineer Locations: Houston, TX; Mayfield Heights OH; Milwaukee, WI (Two positions) Team: IT Platform Engineering, Infrastructure & Operations Role summary We are ...
New
Google Cloud Platform Cloud Platform Engineer Locations: Houston, TX; Mayfield Heights OH; Milwaukee, WI (Two positions) Team: IT Platform Engineering, Infrastructure & Operations Role summary We are ...
New
Whitewater, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...
Whitewater, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...
Green Bay, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...
Green Bay, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...
Kenosha, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...
Kenosha, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...
Menomonie, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...
Menomonie, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...
Milwaukee, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...
Milwaukee, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...
Racine, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...
Racine, WI · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...
$23.78 - $29.62
0% of jobs
$29.62 - $35.47
1% of jobs
$35.47 - $41.31
2% of jobs
$41.31 - $47.16
6% of jobs
$47.16 - $53
12% of jobs
$54.22 is the 25th percentile. Wages below this are outliers.
$53 - $58.85
19% of jobs
The median wage is $61.93 / hr.
$58.85 - $64.69
19% of jobs
$64.69 - $70.54
16% of jobs
$70.67 is the 75th percentile. Wages above this are outliers.
$70.54 - $76.39
12% of jobs
$76.39 - $82.23
7% of jobs
$82.23 - $88.08
6% of jobs
$23
$63
$88
| Aspect | Google Cloud Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Google Cloud certifications, programming skills, ML knowledge | Statistics, data analysis, programming, often with advanced degrees |
| Work Environment | Cloud platforms, coding, deploying ML models | Data analysis, modeling, reporting, often in research or business settings |
| Employer & Industry Usage | Tech companies, cloud service providers, enterprises using Google Cloud | Various 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.
5.7
Based on 1,452 frontline employees who took The Breakroom Quiz
13th of 21 rated department stores
About the Role
As MLOps Engineer II, you will focus on supporting cross-functional teams in designing, deploying, and operating machine learning solutions while building scalable infrastructure, tools, and best practices across the Machine Learning Engineering (MLE) ecosystem.
What You’ll Do
Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling
Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency
Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation
Partner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle
Collaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development
Support development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure
Develop, document, and communicate implementations and best practices across the data science lifecycle
Manage and communicate cloud infrastructure costs and budgets to project stakeholders
Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps
Additional tasks may be assigned
What Skills You Have
Required
Experience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks
Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments
3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery
In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc.
Extensive expertise with CI/CD and
IaC best practices
Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL
Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Experience working in Agile environments with an emphasis on iterative development and continuous delivery
Preferred
Master’s Degree
Proficiency in Java or other languages
Retail experience
E-commerce experience
5+ years of experience in Machine Learning
Experience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed-integer programming)
Experience working with agent based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents
Sourced by ZipRecruiter
Retail
10,000+ Employees
Menomonee Falls, WI, US
