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Vertex Jobs in Wisconsin (NOW HIRING)

Senior MLOps Engineer (Remote)

Menomonee Falls, WI · On-site

$104K - $144K/yr

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 ...

Tax Analyst II, US Indirect

Kohler, WI · On-site

$69K - $105K/yr

Experience with SAP and Vertex is a plus, not required. #LI-CM2 #LI-Onsite Applicants must be authorized to work in the US without requiring sponsorship now or in the future. We believe in supporting ...

Tax Analyst II, US Indirect

Kohler, WI · On-site

$69K - $105K/yr

Experience with SAP and Vertex is a plus, not required. #LI-CM2 #LI-Onsite Applicants must be authorized to work in the US without requiring sponsorship now or in the future. We believe in supporting ...

AWS Architect: Neenah, WI

Neenah, WI · On-site

$65.50 - $85.75/hr

We are seeking a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms that enable scalable analytics and business intelligence. The ideal candidate will have ...

Experience with cloud AI platforms such as Azure OpenAI/Azure ML, AWS SageMaker/Bedrock, or Google Cloud Vertex AI. Technical Expertise * Strong proficiency in Python and SQL, with good software ...

Optician

Appleton, WI

$16.75 - $21.75/hr

Conducting measurements of bridge and eyesize, temple length, vertex distance, pupilary distance and optical centers using appropriate tools. (where authorized under state licensing requirements)

Optician

Appleton, WI

$16.75 - $21.75/hr

Conducting measurements of bridge and eyesize, temple length, vertex distance, pupilary distance and optical centers using appropriate tools. (where authorized under state licensing requirements)

Optician

Appleton, WI · On-site

$16.50 - $21.25/hr

Conducting measurements of bridge and eyesize, temple length, vertex distance, pupilary distance and optical centers using appropriate tools. (where authorized under state licensing requirements)

Optician

Appleton, WI · On-site

$16.50 - $21.25/hr

Conducting measurements of bridge and eyesize, temple length, vertex distance, pupilary distance and optical centers using appropriate tools. (where authorized under state licensing requirements)

Showing results 21-40

Vertex information

See Wisconsin salary details

$31.3K

$93.7K

$118.1K

How much do vertex jobs pay per year?

As of Aug 6, 2026, the average yearly pay for vertex in Wisconsin is $93,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $117,600.00 per year, depending on experience, location, and employer.

What is the difference between Vertex vs Data Analyst?

AspectVertexData Analyst
Required CredentialsAccounting or tax certifications, CPA, or industry-specific licensesBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentFinancial, tax, or consulting firms; office-based or remoteCorporate, finance, healthcare, or tech industries; office or remote
Employer & Industry UsageUsed by accounting and tax firms for tax software solutionsUsed across industries for data interpretation and reporting

Vertex is primarily a tax software company focusing on tax calculation and compliance, often requiring accounting credentials. Data Analysts interpret data to inform business decisions across various industries. While both roles involve data handling, Vertex specialists focus on tax-related data, whereas Data Analysts work with broader datasets for strategic insights.

How does a Vertex Pharmaceuticals team member typically collaborate with cross-functional departments during drug development projects?

At Vertex Pharmaceuticals, team members often work closely with colleagues from research, clinical, regulatory, and commercial departments to advance drug development projects. Collaboration is key—regular cross-functional meetings and project updates ensure alignment on goals and timelines. You may participate in data reviews, strategy sessions, and cross-team problem-solving activities. This environment fosters both scientific innovation and professional growth, as employees learn from diverse experts across the organization.

What are the key skills and qualifications needed to thrive as a Vertex Pharmaceuticals employee?

To thrive at Vertex Pharmaceuticals, you need a strong background in your relevant scientific or technical field, such as biology, chemistry, or drug development, often supported by an advanced degree. Familiarity with laboratory techniques, data analysis software, and regulatory compliance systems is commonly expected. Excellent teamwork, problem-solving, and communication skills set top performers apart in cross-functional and innovative environments. These abilities are essential for driving scientific discovery and ensuring the successful development of impactful therapies.

What is a Vertex?

In the context of technology jobs, 'Vertex' often refers to a role at Vertex Pharmaceuticals or jobs related to Google's Vertex AI platform. For example, Vertex AI is a Google Cloud product that enables machine learning engineers and data scientists to build, deploy, and scale machine learning models. Job roles related to Vertex AI typically involve tasks such as data preprocessing, model training, deployment, and monitoring. If referring to Vertex Pharmaceuticals, jobs may involve pharmaceutical research, clinical trials, or business operations. It's important to clarify the industry to better understand the specific job responsibilities.
Infographic showing various Vertex job openings in Wisconsin as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $93,740 per year, or $45.1 per hour.

Senior MLOps Engineer (Remote)

KOHLS

Menomonee Falls, WI • On-site

$104K - $144K/yr

Other

Re-posted 8 days ago


Kohl's rating

5.7

Company rating: 5.7 out of 10

Based on 1,460 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores


Job description

About the Role

As Senior MLOps Engineer, 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


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