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Machine Learning Jobs in Mequon, WI (NOW HIRING)

Develop and implement statistical and machine learning models to solve business problems within a cross-functional team * Collaborate with senior data scientists to fine-tune, optimize and ensure the ...

Develop and implement statistical and machine learning models * Fine-tune, optimize and ensure the scalability of models and algorithms * Aid in designing experiments to answer targeted questions

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Senior AI Engineer - SFL Scientific

Milwaukee, WI · On-site

$103K - $141K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Work You'll Do As an AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

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Machine Learning information

See Mequon, WI salary details

$22.6K

$37.8K

$78.1K

How much do machine learning jobs pay per year?

As of Jun 22, 2026, the average yearly pay for machine learning in Mequon, WI is $37,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,900.00 and $40,800.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
What are popular job titles related to Machine Learning jobs in Mequon, WI? For Machine Learning jobs in Mequon, WI, the most frequently searched job titles are:
What cities near Mequon, WI are hiring for Machine Learning jobs? Cities near Mequon, WI with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Mequon, WI as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 25% In-person, 25% Hybrid, and 50% Remote job distribution, with an average salary of $37,808 per year, or $18.2 per hour.
Software Development Engineering - Advisor II

Software Development Engineering - Advisor II

Fiserv, Inc.

Milwaukee, WI • On-site

Full-time

Posted 9 days ago


Fiserv rating

7.6

Company rating: 7.6 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services


Job description

Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Software Development Engineering - Advisor II
TITLE: Software Development Engineering - Advisor II
EMPLOYER: Fiserv Solutions, LLC
LOCATION: Milwaukee, WI (and various unanticipated locations throughout the U.S. subject to authorization from management)
DUTIES: Spearhead and fine tune the creation of emerging deep learning models that transform text, raw images, and time series data into interpretable information and actionable recommendations to power AI applications. Design and implement user-friendly interactive web applications that connect with machine learning systems. Deploy deep learning models. Design and implement dashboards to summarize key analytics for stakeholders. Collaborate with product, engineering, and operational teams to proactively gather feedback, gather requirements, and develop metrics. Communicate findings, recommendations, and analysis results to stakeholders in verbal, visual and written media. Stay up-to-date with industry trends and advancements in machine learning platforms as well as machine learning techniques, and lead the team in learning and improvement.
REQUIREMENTS: Bachelor's degree in Computer Engineering, Telecommunications Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Physics, or a related field and 4 years in any job title involving algorithm, machine learning framework, and platform development experience in data science. Alternatively, the employer will accept Master's degree in Computer Engineering, Telecommunications Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Physics, or a related field and 2 years in any job title involving algorithm, machine learning framework, and platform development experience in data science. Prior experience must include: 2 years developing and deploying data science models using Python; 2 years working with version control systems including GIT; 2 years documenting the development processes, including code, design decisions, and user guides; 2 years working in Machine Learning (ML), natural language processing (NLP), and deep learning (DL) models for business specific use cases; 1 year designing and building topic modeling algorithms using Latent Dirichlet Allocation (LDA); Designing and creating Sigma dashboard to showcase topic modeling results for stakeholders; Performing analysis on topic modeling outputs to derive actionable insights and present findings to stakeholders; Presenting highly technical findings to non-technical audience including senior leadership; Performing Exploratory Data Analysis (EDA) on numerical and categorical features to identify relevant features; Designing and developing ensemble model to predict merchant attrition risk; Designing, developing and deploying merchant retention models to predict customer retention using Adobe Analytics; Designing and developing clustering algorithm on a set of customers identified by merchant retention model based on heuristics and business requirements; Designing KPIs based on customer behavior data to measure performance and customer stickiness; Designing and building database structure and automated reporting dashboard using tableau and sigma; Designing and developing Random Forest and Regression model to predict customer/merchant retention; Designing and developing time series model using ARIMA and fbProphet for multi-region demand forecasting at multiple temporal resolution; Working with TensorFlow, scikit-learn, and Keras for machine learning tasks; Implementing web scraping and data mining solutions to gather open-source data using scrapy in Python; Leading and performing architectural design with collaborators based on stakeholder requirements; and Performing text preprocessing, vectorization using Tf-Idf, clustering using DBScan, and summarization methods.
TRAVEL: None
TO APPLY: Apply by selecting "Apply" on this page and following prompts to attach resume and submit.
JOB CODE: CR594
#P3M
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

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