ZipRecruiter

Log In

1

Tensorflow Jobs in Illinois (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

NAVA Software Solutions

Sr. AI/ML Engineer

Deerfield, IL · On-site

$106K - $145K/yr

TensorFlow, PyTorch, Keras, OpenCV * Proven experience in Computer Vision tasks, including object detection, segmentation, and OCR * Experience training and fine-tuning models such as: YOLOv5/v8 ...

Reyes Holdings

Data Scientist

Rosemont, IL

Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc. * Exposure to Geo Spatial Data, Demography Data * Experience with SQL Development, Stored Procedures, Data Analysis and Data ...

Reyes Holdings

Data Scientist

Rosemont, IL

Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc. * Exposure to Geo Spatial Data, Demography Data * Experience with SQL Development, Stored Procedures, Data Analysis and Data ...

Deloitte

Lead Generative AI Data Engineer III

Chicago, IL

$105K - $139K/yr

Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow. * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you ...

PayPal

Machine Learning Engineer

Chicago, IL · On-site

Familiarity with ML frameworks like TensorFlow or scikit-learn. * Strong analytical and problem-solving skills. Additional Responsibilities & Preferred Qualifications: Role and Responsibilities

Sonsoft Inc

Data Scientist (No H1B)

Chicago, IL

... Torch, Tensorflow, scikit-learn, xgboost), visualization (e.g., matplotlib, ggplot, vega, d3.js) or data processing (e.g., Spark, Stanford CoreNLP, gensim) Relational database and SQL skills ...

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

... TensorFlow, and/or high-performance libraries like Jax • Strong understanding of theoretical foundations of state-of-the-art ML models • Strong publication track record at ICML, ICLR, NeurIPS, or ...

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

$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)

next page

Showing results 1-20

All JobsTensorflow JobsTensorflow Jobs in Illinois

Tensorflow information

See Illinois salary details

$36.3K

$118.9K

$190.4K

How much do tensorflow jobs pay per year?

As of Jul 28, 2026, the average yearly pay for tensorflow in Illinois is $118,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $131,800.00 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.

What are the most commonly searched types of Tensorflow jobs in Illinois? The most popular types of Tensorflow jobs in Illinois are:
What are popular job titles related to Tensorflow jobs in Illinois? For Tensorflow jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Tensorflow jobs in Illinois look for? The top searched job categories for Tensorflow jobs in Illinois are:
Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Illinois as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,937 per year, or $57.2 per hour.
AI/ML Engineer

AI/ML Engineer

Resource Point LLC

Chicago, IL • On-site

Contractor

Posted 24 days ago

Job description

Position: AI/ML Engineer

Duration: 12 months

Location: Chicago, IL

Job Description

An AI/ML Engineer designs, develops, and deploys production-ready artificial intelligence and machine learning models and systems, managing data pipelines, running experiments, and training models using programming languages like Python and frameworks 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 developers, and business stakeholders to align AI solutions with organizational goals.

Key Responsibilities

  • Model Development: Research, design, and implement machine learning algorithms and applications to solve business problems.
  • Data Pipeline Management: Build and manage scalable data pipelines for preprocessing, feature engineering, and data flow to train and evaluate ML models.
  • Model Training and Deployment: Train, test, and tune machine learning models, ensuring they meet quality standards and deploying them into production environments.
  • Performance Monitoring and Optimization: Monitor the performance of trained models, retrain them as needed, and optimize them for better performance.
  • Collaboration: Work with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI into applications and achieve project goals.
  • Stay Updated: Keep abreast of emerging AI and machine learning technologies and best practices to enhance institutional capabilities.

Required Skills & Qualifications

  • Programming Languages: Proficiency in Python, Java, or R, Golang
  • Machine Learning Frameworks: Expertise in tools and libraries like TensorFlow, PyTorch, and scikit-learn.
  • Concepts: Deep understanding of machine learning, deep learning, data mining, algorithms, and computer vision.
  • Tools: Familiarity with Git for version control and cloud platforms for scalable solutions.
  • Soft Skills: 
  • Collaboration: Ability to work effectively in multidisciplinary teams.
  • Communication: Excellent communication skills to explain complex technical concepts to both technical and non-technical stakeholders. 
  • Problem-Solving: Strong analytical and problem-solving skills to design and implement effective AI solutions.