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Tensorflow Jobs in Wisconsin (NOW HIRING)

Generac

AI Application Engineer

Waukesha, WI · On-site

Python (TensorFlow, PyTorch, Scikit-learn) * Data engineering and ETL pipelines * Model deployment (APIs, microservices, Docker, etc.) * Understanding of industrial systems, manufacturing processes ...

KOHLS

Senior MLOps Engineer (Remote)

Menomonee Falls, WI · On-site

$104K - $144K/yr

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 ...

Cisco Systems, Inc.

WI · On-site

$100 - $125/hr

Familiarity with ML frameworks such as TensorFlow, PyTorch, or similar * Experience with deploying and optimizing ML models * Enjoys being part of a team and working towards common objectives Why ...

ELLIS

WI · On-site

$60 - $80/hr

Strong experience with frameworks like TensorFlow, Keras, or PyTorch. * Preferred Skills: * Experience with Explainable AI (e.g., SHAP, Integrated Gradients). * Familiarity with high‑performance ...

Allen Control Systems

WI · On-site

$150 - $200/hr

Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar. * Experience with embedded systems and integrating computer vision algorithms ...

Revature LLC

WI · On-site

$100 - $125/hr

Proficiency in Python and AI libraries such as PyTorch, TensorFlow, and Hugging Face Transformers. * Strong experience with LLMs, prompt engineering, and fine‑tuning. * Practical understanding of ...

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Tensorflow information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do tensorflow jobs pay per year?

As of Sep 8, 2026, the average yearly pay for tensorflow in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 per year, depending on experience, location, and employer.

What is a TensorFlow?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What does a TensorFlow developer do?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the TensorFlow position?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What are popular job titles related to Tensorflow jobs in Wisconsin?

For Tensorflow jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Tensorflow jobs in Wisconsin look for?

The top searched job categories for Tensorflow jobs in Wisconsin are:

Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Wisconsin as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

AI Application Engineer

Waukesha, WI • On-site

Generac
Electrical Equipment, Appliance, and Component Manufacturing • 1 - 10 employees
Learn more about Generacexternal

Full-time

Posted 6 days ago

Generac Power Systems rating

7.0

Company rating: 7.0 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

358th of 499 rated machine equipment manufacturers

Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.


Ready to Power a Smarter World with us?


The AI Applications Engineer will design, develop, and deploy scalable AI/ML solutions that accelerate digital transformation across manufacturing operations. This role will focus on translating operational challenges into deployable AI solutions-integrating operations platforms to enable smarter decision-making, automation, and predictive insights. This position plays a critical role in building the "Digital Factory + AI" capability stack.

This position could include up to 25% travel locally.

Major Responsibilities:

AI Solution Development & Deployment

  • Design, build, test, and deploy machine learning and AI models, including productionizing solutions and maintaining model performance over time.

Manufacturing (Operations) Use Case Delivery

  • Develop and support AI solutions for shop floor applications such as predictive maintenance, quality inspection, yield optimization, and throughput improvement.

Data Engineering & Platform Integration

  • Develop data pipelines, integrate with enterprise systems, and ensure scalable, reusable AI and data architecture.

Cross-Functional Collaboration & Business Translation

  • Partner with Operations and IT teams to define use cases, translate business problems into AI solutions, and ensure adoption. Including build vs. buy analysis.

Continuous Improvement, Governance & Documentation

  • Monitor model performance, ensure data/model governance, document solutions, and drive reusability and standardization across sites/functions.

Minimum Job Requirements:

Education

  • Bachelor's degree in computer science, engineering, data science, or related field

Work Experience

  • Experience working with structured and unstructured data

  • Experience building and deploying AI based vision systems

  • 5 years in manufacturing / OT environments, PLC, SCADA, MES exposure

  • 2 years of experience in AI/ML development and deployment


Knowledge / Skills / Abilities

  • Python (TensorFlow, PyTorch, Scikit-learn)

  • Data engineering and ETL pipelines

  • Model deployment (APIs, microservices, Docker, etc.)

  • Understanding of industrial systems, manufacturing processes, or IoT data

  • Strong problem-solving and systems thinking mindset

  • Ability to bridge technical and business domains

  • Execution-focused with a bias toward deployment (not just modeling)

  • Ability to work across operations, engineering, and service functions

  • Ability to demonstrate clear communication with both technical teams and leadership

Preferred Job Requirements:

Education

  • Master's Degree

Work Experience

  • Experience in discrete manufacturing environments

  • Experience working in digital factory or Industry 4.0 initiatives

  • Familiarity with MES, PLM, and ERP integrations (SAP, Tulip, Windchill, etc.)


Knowledge / Skills / Abilities

  • Experience with Computer vision (OpenCV, vision models

  • Time-series analysis (sensor, telemetry data)

  • Edge AI deployment

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."

What Generac Power Systems employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Generac

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing and engine, turbine, and power transmission equipment manufacturing

Company size

1 - 10 Employees

Headquarters location

Eagle, WI, US

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