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Tensorflow Pytorch Jobs in Naperville, IL (NOW HIRING)

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

... such as TensorFlow and PyTorch . This role requires strong technical skills in machine learning, programming, and algorithms, as well as effective collaboration with data scientists, software ...

Aivra Health LLC

Data Scientist

Chicago, IL · On-site

TensorFlow * PyTorch * Tableau * Power BI * AWS Benefits * Health Insurance * Paid Time Off * Flexible Work Schedule * Learning & Development * 401(k) * Career Growth Opportunities

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

Apply ML/AI tools like TensorFlow/PyTorch to build and train models for various applications. Interface with databases to gather relevant information for analysis and modeling. Fuse and correlate ...

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Humana

AI Technical Product Manager

Chicago, IL · On-site

$172K - $198K/yr

Design and co-develop working prototypes and production-ready components using leading AI/ML tools and platforms (e.g., Python, TensorFlow, PyTorch, Hugging Face, LangChain, Azure AI, OpenAI)

Humana

AI Technical Product Manager

Chicago, IL

$172K - $198K/yr

Design and co-develop working prototypes and production-ready components using leading AI/ML tools and platforms (e.g., Python, TensorFlow, PyTorch, Hugging Face, LangChain, Azure AI, OpenAI)

Humana

AI Technical Product Manager

Chicago, IL · On-site

$172K - $198K/yr

Design and co-develop working prototypes and production-ready components using leading AI/ML tools and platforms (e.g., Python, TensorFlow, PyTorch, Hugging Face, LangChain, Azure AI, OpenAI)

Echo Global Logistics

RPA Developer

Chicago, IL · On-site +1

$73K - $107K/yr

Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) * Undergraduate degree in:Computer Science, Engineering, Statistics/Mathematics, Analytics, Logistics/Supply Chain, or ...

Echo Global Logistics

RPA Developer

Chicago, IL · On-site +1

$73K - $107K/yr

Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) * Undergraduate degree in: Computer Science, Engineering, Statistics/Mathematics, Analytics, Logistics/Supply Chain, or ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Naperville, IL

Tensorflow Pytorch information

See Naperville, IL salary details

$37.4K

$122.6K

$196.2K

How much do tensorflow pytorch jobs pay per year?

As of Aug 8, 2026, the average yearly pay for tensorflow pytorch in Naperville, IL is $122,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $135,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.
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Tensorflow Pytorch jobs near you

Senior Analytics & ML Leader Asset Management

3M HEALTHCARE

Chicago, IL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Northern Trust Asset Management seeks a Senior Analytics Specialist to advance data science initiatives across portfolio management, risk, and operations. You will build and validate AI/ML models, translate investment requirements into analytics, and present insights to senior leaders. The role requires 7+ years in data science within asset management, with Python, R, SQL, TensorFlow/PyTorch, and hands-on with Azure, Snowflake, Databricks, and Power BI. #J-18808-Ljbffr

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