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Pytorch Developer Jobs in Illinois (NOW HIRING)

ExpertiseGood knowledge of AIML frameworks (TensorFlow, PyTorch,etc.) and libraries Experience with cloud based AIML platforms (e.g. Dataiku, AWS.) Strong programming skills in Python, Java or C ...

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 ...

... 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 ...

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 ...

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... Proficiency with modern ML frameworks, including PyTorch or similar technologies. * Experience with ...

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... Proficiency with modern ML frameworks, including PyTorch or similar technologies. * Experience with ...

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... Proficiency with modern ML frameworks, including PyTorch or similar technologies. * Experience with ...

Good knowledge of AIML frameworks (TensorFlow, PyTorch,etc.) and libraries Experience with cloud based AIML platforms (e.g. Dataiku, AWS.) Strong programming skills in Python, Java or C, PySPARK ...

GenAI Engineer Location: Chicago, IL (Hybrid) Requirements: * Skill sets: Ability to develop ... Experience with TensorFlow, Keras, and PyTorch. * Cloud Platforms: Familiar with Google Model ...

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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 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 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 cities in Illinois are hiring for Pytorch Developer jobs? Cities in Illinois with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in Illinois as of May 2026, with employment types broken down into 78% Full Time, 12% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Gen AI Developer (Python)

Purple Drive Technologies

Chicago, IL • On-site

$51.75 - $71.25/hr

Full-time

Posted 27 days ago


Job description

Overview:
Title: Gen AI Developer (Python)
Location: Chicago, IL (Onsite)
Type: Contract
Job Overview
We are seeking a talented Gen AI Developer (Python) to join our onsite team in Chicago, IL. The ideal candidate will have hands-on expertise in developing and deploying Generative AI solutions, leveraging modern frameworks and Python programming to drive innovation and deliver impactful business outcomes.
Key Responsibilities
  • Design, develop, and implement Generative AI models and applications using Python.
  • Work with large datasets to build, fine-tune, and optimize AI/ML models.
  • Collaborate with stakeholders to translate business requirements into technical deliverables.
  • Develop scalable, reusable, and efficient code following industry best practices.
  • Integrate AI models into production systems with a focus on performance, scalability, and reliability.
  • Stay current with emerging AI/ML and Generative AI tools, techniques, and frameworks.
Required Skills
  • Strong Python development expertise.
  • Practical experience with Generative AI frameworks (e.g., LangChain, Hugging Face, PyTorch, TensorFlow).
  • Knowledge of ML/LLM lifecycle - from data preprocessing and training to deployment and monitoring.
  • Solid problem-solving, analytical, and debugging skills.
  • Excellent communication and teamwork skills.
Preferred Skills
  • Experience with cloud platforms (AWS, Azure, or GCP) for AI/ML deployment.
  • Familiarity with LLM fine-tuning and prompt engineering.
  • Exposure to API design, development, and integration.