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Pytorch Developer Jobs in Chicago, IL (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 ...

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 ...

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 ...

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 ...

iManage

Senior AI Engineer

Chicago, IL · On-site

$107K - $147K/yr

Being a Senior AI Engineer at iManage Means... You are passionate about building and deploying AI ... Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face * Solid ...

iManage

Senior AI Engineer

Chicago, IL · On-site

$180K - $220K/yr

Being a Senior AI Engineer at iManage Means... You are passionate about building and deploying AI ... Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face * Solid ...

Hoplon InfoSec, LLC

Senior AI/ML Engineer

Oak Brook, IL · On-site

$140 - $190/hr

Fluency inPython and strong expertise with modern ML frameworks (PyTorch, TensorFlow, orJAX). * SoftwareEngineering: Strongfundamentals in object-oriented/functional programming, system design ...

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;

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Pytorch Developer information

What is a PyTorch developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are some common challenges PyTorch developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What are the key skills and qualifications needed to thrive as a PyTorch developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are popular job titles related to Pytorch Developer jobs in Chicago, IL?

For Pytorch Developer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Pytorch Developer jobs in Chicago, IL look for?

The top searched job categories for Pytorch Developer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Pytorch Developer jobs?

Cities near Chicago, IL with the most Pytorch Developer job openings:

Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Chicago, IL as of August 2026, with employment types broken down into 82% Full Time, 5% Part Time, and 13% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.

AI Developer

Tror AI for everyone

Mettawa, IL • On-site

$80/hr

Contractor

Re-posted 16 days ago

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.