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Tensorflow Developer Jobs in Illinois (NOW HIRING)

Tror AI for everyone

AI Developer

Mettawa, IL · On-site

$80/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Rate: $80/hr on C2C Design, build, and deploy ... Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow ...

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 ...

Tror AI for everyone

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Design, build, and deploy cutting-edge AI ... Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow ...

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 ...

1872 Consulting

Computer Vision Engineer

Chicago, IL · On-site

$114K - $135K/yr

Computer Vision Engineer We have a world-class artificial intelligence team, which has the aim to ... with TensorFlow (preferred), Caffe, Keras, Theano or Torch * Excellent verbal and written ...

1872 Consulting

Computer Vision Engineer

Chicago, IL · On-site

$114K - $135K/yr

Computer Vision Engineer We have a world-class artificial intelligence team, which has the aim to ... with TensorFlow (preferred), Caffe, Keras, Theano or Torch * Excellent verbal and written ...

Inspire11

ML Engineering Consultant

Chicago, IL · On-site

... and DevOps • Expertise in data preprocessing and ML techniques • Experience with model evaluation and libraries like TensorFlow, PyTorch • Proven experience in ML engineering • Strong ...

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 ... Required Qualifications Master's Degree in Mathematics, Engineering, Physics or related field;

Deloitte

Lead Generative AI Data Engineer III

Chicago, IL

$105K - $139K/yr

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ... Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.

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$18

$43

$97

How much do tensorflow developer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for tensorflow developer in Illinois is $43.89, according to ZipRecruiter salary data. Most workers in this role earn between $22.84 and $53.12 per hour, depending on experience, location, and employer.

What does a TensorFlow developer do?

As a Tensorflow Developer, your daily tasks often include designing, coding, and refining machine learning models using Tensorflow, as well as preprocessing data and evaluating model performance. You may also be responsible for integrating models into production systems, troubleshooting issues, and collaborating closely with data scientists, engineers, and product teams. Staying updated with the latest developments in the machine learning ecosystem and optimizing solutions for scalability and efficiency are also common aspects of this role. By working on diverse projects, you'll have opportunities to deepen your understanding and broaden your expertise in different application areas.

What is a TensorFlow developer?

A TensorFlow Developer is responsible for designing, building, and deploying machine learning models using TensorFlow, an open-source deep learning framework. They work with neural networks, data preprocessing, and optimization techniques to improve model performance. Their role often includes collaborating with data scientists and engineers to integrate models into applications, ensuring scalability and efficiency. TensorFlow Developers typically have expertise in Python, TensorFlow libraries, and deep learning concepts.

What are the key skills and qualifications needed to thrive as a TensorFlow developer?

To thrive as a Tensorflow Developer, you need a solid understanding of machine learning and deep learning principles, strong Python programming skills, and practical experience with the Tensorflow framework. Familiarity with tools such as Tensorboard, Keras, and cloud-based ML platforms, as well as relevant certifications like TensorFlow Developer Certificate, is highly valued. Problem-solving ability, attention to detail, and effective teamwork and communication skills help set top candidates apart. These competencies enable developers to design, implement, and optimize machine learning models that address complex business challenges in a collaborative environment.

What are the most commonly searched types of Tensorflow Developer jobs in Illinois? The most popular types of Tensorflow Developer jobs in Illinois are:
What are popular job titles related to Tensorflow Developer jobs in Illinois? For Tensorflow Developer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Tensorflow Developer jobs in Illinois look for? The top searched job categories for Tensorflow Developer jobs in Illinois are:
Tensorflow Developer jobs near you
Infographic showing various Tensorflow Developer job openings in Illinois as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $91,282 per year, or $43.9 per hour.

AI Developer

Tror AI for everyone

Mettawa, IL • On-site

$80/hr

Contractor

Re-posted yesterday

Job description

Role: Senior AI Developer

Location: Mettawa, IL (Onsite)

Rate: $80/hr on C2C

Design, build, and deploy cutting-edge AI solutions that leverage the power of knowledge graphs and generative models. You will be instrumental in developing high-impact applications, with a specific focus on implementing Graph Retrieval-Augmented Generation (GraphRAG) systems to provide accurate, contextually enriched, and trustworthy AI outputs grounded in enterprise data.

This role requires deep expertise in AI/ML, Neo4j, GraphRAG and GenAI.

Key Responsibilities

  • Architect and Implement AI Systems: Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI agents, from idea to production deployment.
  • Knowledge Graph Development: Design, develop, and maintain large-scale knowledge graphs using Neo4j to structure complex, multi-source enterprise data (both structured and unstructured).
  • GraphRAG Implementation: Build sophisticated GraphRAG pipelines that integrate vector databases and knowledge graphs to ground AI responses in factual, verifiable information and mitigate hallucinations.
  • Model Integration and Optimization: Collaborate with data scientists and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary Large Language Models (LLMs) and optimizing them for performance and efficiency.
  • Data Pipeline Development: Set up scalable data pipelines for data ingestion, embedding generation, preprocessing, and continuous model training/retraining.
  • Technical Leadership & Collaboration: Partner with cross-functional teams (e.g., data engineers, product managers, business stakeholders) to translate complex business needs into robust, scalable AI architectures and provide technical guidance to junior developers.
  • Innovation & Best Practices: Stay current with the latest advancements in GenAI, graph databases, and MLOps, advocating for and implementing best practices in CI/CD, testing, and responsible AI. 

 

Required Skills & Qualifications

  • Experience: 7+ years of experience in software development or AI engineering, with a strong portfolio of production-ready AI projects.
  • Programming Proficiency: Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
  • Graph Database Expertise: Strong hands-on experience with graph databases, especially Neo4j, including data modeling, Cypher query language, and graph algorithms.
  • GenAI & RAG Knowledge: Deep understanding and practical experience with GenAI concepts, LLMs, prompt engineering, embeddings, and building RAG systems.
  • Cloud & Infrastructure: Experience in deploying and optimizing models in cloud environments (GCP) and managing project infrastructure.
  • Problem-Solving: Excellent analytical and problem-solving skills, with the ability to tackle complex, novel challenges in AI development.
  • Education: Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related technical field.