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Pytorch Jobs in Illinois (NOW HIRING)

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

... 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 ...

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 ...

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 ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

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 ...

iManage

Senior AI Engineer

Chicago, IL · On-site

$180K - $220K/yr

Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face * Solid understanding of ML fundamentals including hands-on experience with both traditional ML and modern ...

Deloitte

Lead Generative AI Data Engineer III

Chicago, IL · On-site

$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 ...

Inspire11

ML Engineering Consultant

Chicago, IL · On-site

... PyTorch • Proven experience in ML engineering • Strong programming skills (Python, R) • Cloud services and infrastructure knowledge • Agile methodologies understanding Company : Inspire11 is ...

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)

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

... PyTorch, 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 ...

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)

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Pytorch information

See Illinois salary details

$70.6K

$126.6K

$181.6K

How much do pytorch jobs pay per year?

As of Aug 24, 2026, the average yearly pay for pytorch in Illinois is $126,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,380.00 and $154,875.00 per year, depending on experience, location, and employer.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What are the key skills and qualifications needed to thrive in the PyTorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What are popular job titles related to Pytorch jobs in Illinois?

For Pytorch jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Pytorch jobs in Illinois look for?

The top searched job categories for Pytorch jobs in Illinois are:

Pytorch jobs near you
Infographic showing various Pytorch job openings in Illinois as of August 2026, with employment types broken down into 2% Internship, 94% Full Time, 2% Part Time, and 2% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $126,637 per year, or $60.9 per hour.

AI/ML Engineer

Chicago, IL • On-site

Resource Point LLC
IT Services • 51 - 200 employees
Learn more about Resource Point LLCexternal

Contractor

Re-posted 21 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.