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Tensorflow Jobs in Wisconsin (NOW HIRING)

WI · On-site

$110 - $160/hr

Python, PyTorch, TensorFlow, AWS, GCP, OpenCV #J-18808-Ljbffr

AI Engineer

Milwaukee, WI · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing scalable machine learning models using Python and TensorFlow - Integrating data ...

WI · On-site

$147.20 - $210.30/hr

  • Medical

  • Life

  • Retirement

  • PTO

Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. * Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. What we ...

WI · On-site

$120 - $150/hr

Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience with ML Ops platforms and deploying ML systems into production (MLflow, Kubeflow or equivalent)

Research Assistant

Downing, WI

$21 - $31/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Expertise in ML frameworks (scikit-learn, TensorFlow, PyTorch) and data processing (JSON, XML). Exceptional communication and collaborative skills. MINIMUM REQUIREMENTS: Bachelor of Science in ...

Experience in PyTorch, Keras/Tensorflow. * Experience in explainable AI. * Experience in SQL data query, data cleaning * Experience in SAP Data Intelligence and/or Azure cloud computing a plus but ...

Experience in PyTorch, Keras/Tensorflow. * Experience in explainable AI. * Experience in SQL data query, data cleaning * Experience in SAP Data Intelligence and/or Azure cloud computing a plus but ...

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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 Aug 18, 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:

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.

$110 - $160/hr

Other

Posted 12 days ago


Job description

An early-stage team deploying AI vision systems directly on manufacturing lines.

You are the engineer who prefers the hum of factory equipment to the silence of a cloud notebook, eager to bridge the gap between experimental models and rugged hardware. In this on-site Texas role, you will build and optimize computer vision pipelines that inspect products in real-time, turning raw camera feeds into immediate quality decisions. Your work moves beyond standard benchmarks to solve unique optical challenges where latency and precision directly impact production throughput.

What we’re looking for:
  • 1 to 5 years of experience deploying computer vision models using PyTorch or TensorFlow
  • Proficiency in Python and OpenCV for image processing and algorithm development
  • Familiarity with cloud infrastructure on AWS or GCP for training and data management
  • Interest or background in working with embedded systems or edge computing hardware
  • Ability to collaborate closely with hardware engineers in an on-site manufacturing environment
  • Must be based in the United States.
Tech stack:

Python, PyTorch, TensorFlow, AWS, GCP, OpenCV

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