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Tensorflow Jobs in Wisconsin (NOW HIRING)

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 ...

MLOps Engineer II (Remote)

Menomonee Falls, WI · On-site

$97K - $134K/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 ...

Fundierte Kenntnisse in Datenanalyse und Prototyping mit Python in Azure Databricks Erfahrung mit Machine-Learning-Frameworks wie TensorFlow, PyTorch und scikit-learn Praktische Erfahrung im Big Data ...

... TensorFlow, scikit-learn, Xgboost, DASK, and Ray; 4 years working with Python programming language; 4 years deploying, monitoring, and maintaining ML/DL model pipelines in a HPC platform using Spark ...

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Tensorflow information

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$37.9K

$123.9K

$198.3K

How much do tensorflow jobs pay per year?

As of Jul 20, 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 job?

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 are typical daily responsibilities for someone working in a TensorFlow Developer role?

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, and why are they important?

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.

Data Scientist

Full-time

Re-posted 18 days ago


Job description

Proven to Perform.
From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.

ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI.

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods, and design and improvement of manufacturing processes.

A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will possess a strong Continuous Improvement mindset.

Additional Responsibilities

  • Map data from multiple sources into new structures.
  • Work with business subject matter experts to determine best solutions
  • Serve as a subject matter expert in the capabilities of Data Science.
  • Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and visualization techniques.
  • Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data.

Basic Qualifications

  • B.S. degree in computer science, engineering with a strong statistical and programming background.
  • Experience in deep learning, predictive modeling, data mining, and time series analysis.
  • Knowledge of image segmentation, generative models, convolutional neural networks.
  • Experience in applied machine learning.

Preferred Qualifications (in addition to Basic Qualifications)

  • 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 not required.
  • If you have worked on PINN or used ML for solving materials science problem a big plus.

Wethrive when the expectations are great, and the barriers are high. We're solving the world's most difficult challenges through materials science.Our advanced, integrated process technologies and proven performers give us a tremendous competitive advantage. When customers systems need to fly higher, dig deeper, stand stronger, and last longer -- anywhere on, above or below the earth -- ATI is proven to perform.

*It is ATI's policy to not provide immigration sponsorship for any of the company's positions.
ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, gender, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.