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Pytorch Developer Jobs in Illinois (NOW HIRING)

iManage

Staff AI Software Engineer

Chicago, IL · On-site

$180K - $220K/yr

Deep proficiency in Python and modern AI frameworks (i.e., PyTorch and Hugging Face) * Deep ... Experience with agentic engineering (agent harness, agent memory) and orchestration framework like ...

Whiztek Corp

GenAI engineer

Chicago, IL

We are seeking a highly skilled GenAI Engineer to lead the development of cutting-edge AI solutions ... Knowledge of PyTorch or TensorFlow for local model fine-tuning. * Previous experience in the ...

Octave

Sr. Data Engineer

Chicago, IL

$118K - $141K/yr

Job Summary: We're looking for a Sr. Data Engineer with strong data platform experience to help ... Knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit ...

iManage

Staff AI Software Engineer

Chicago, IL · On-site

$180K - $220K/yr

Deep proficiency in Python and modern AI frameworks (i.e., PyTorch and Hugging Face) * Deep ... Experience with agentic engineering (agent harness, agent memory) and orchestration framework like ...

Purple Drive Technologies

GEN AI Engineer

Chicago, IL · On-site

Strong background in PyTorch, TensorFlow, Hugging Face Transformers . * Knowledge of fine-tuning, prompt engineering, embeddings, and model optimization . * Experience deploying models using AWS ...

VCS Digital LLC

Lead ML Engineer

Deerfield, IL

$104K - $137K/yr

Exposure to Deep Learning frameworks such as TensorFlow or PyTorch * Solid understanding of feature engineering, model evaluation, and experimentation. Preferred Traits * Strong communication and ...

SoHo Dragon

Senior AI/ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week ... PyTorch, Scikit-learn, OpenCV and/or Keras. * Knowledge of math, probability, and statistics.

SoHo Dragon

Senior AI/ML Engineer

Chicago, IL · Hybrid

$107K - $147K/yr

Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week ... PyTorch, Scikit-learn, OpenCV and/or Keras. * Knowledge of math, probability, and statistics.

SoHo Dragon

Senior AI/ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week ... PyTorch, Scikit-learn, OpenCV and/or Keras. * Knowledge of math, probability, and statistics.

Lessen

Machine Learning Engineer II

Chicago, IL · On-site

$100K - $137K/yr

Familiarity with pytorch, pandas and cloud platform like AWS, Azure and GCP * Prompt engineering experience * Experience using a machine learning framework e.g. scikit-learn, pytorch or similar

IMC Trading

Hardware Machine Learning Engineer

Chicago, IL · On-site

$127K - $168K/yr

They are seeking a Hardware Machine Learning Engineer to architect solutions that deploy machine ... such as PyTorch/TensorFlow • Proficiency in Python, C++, or similar languages for tooling ...

Cayuse Holdings, LLC

$28 - $30/hr

AI Engineer Location: Remote Type: Corp to Corp Start Date: ASAP Pay Rate: $28-$30 per hour ... Practical experience with spaCy, Pandas, NumPy, PyTorch, and advanced text analytics. * Knowledge ...

CoSourcing Partners

GCP AI/ML Engineer

Chicago, IL · On-site +1

Job Title: GCP AI/ML Engineer Duration: 6 months Contract to hire Location: Chicago is the ... Experience with TensorFlow, PyTorch, or Scikit-learn. * Familiarity with Kubeflow Pipelines or ...

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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 are popular job titles related to Pytorch Developer jobs in Illinois? For Pytorch Developer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Illinois look for? The top searched job categories for Pytorch Developer jobs in Illinois are:
What cities in Illinois are hiring for Pytorch Developer jobs? Cities in Illinois with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
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.

AI/ML Engineer - LLM & Agentic AI

Purple Drive Technologies

Chicago, IL • On-site

Full-time

Posted 26 days ago

Job description

Overview:
Job Title: AI/ML Engineer - LLM & Agentic AI
Location: Chicago, IL / Remote
Job Type: Full-Time
Job Summary
We are seeking a highly skilled AI/ML Engineer with deep expertise in LLM-based applications, Agentic AI, and scalable AI architecture. The ideal candidate will have strong experience building production-grade AI systems using modern frameworks, vector databases, retrieval pipelines, and MLOps practices.
This role involves end-to-end ownership of AI solution design, orchestration workflows, deployment, monitoring, and optimization.
Required Skills
  • Hands-on experience building:
    • ML/LLM-based applications
    • Agentic AI solutions
    • RAG architectures
  • Strong expertise with:
    • Embeddings
    • Vector databases
    • Retrieval pipelines
    • Prompt engineering
    • AI orchestration workflows
  • Strong Python programming skills
  • Experience with frameworks such as:
    • LangChain
    • LlamaIndex
    • PyTorch
  • Experience with:
    • CI/CD pipelines
    • Scalable model deployment
    • Monitoring and lifecycle management
    • MLOps best practices
Key Responsibilities
  • Design and deliver end-to-end AI/ML, Agentic AI, and LLM-based solutions
  • Translate business requirements into scalable AI architectures and measurable outcomes
  • Build RAG pipelines, vector search solutions, embeddings, and orchestration workflows
  • Develop prompt strategies, AI agents, workflow guardrails, and automation frameworks
  • Optimize AI systems for:
    • Performance
    • Scalability
    • Reliability
    • Cost efficiency
  • Implement monitoring, drift detection, CI/CD, and lifecycle management for AI models
  • Build production-grade data pipelines with validation, lineage, and reproducibility
  • Mentor engineering teams and drive responsible AI architecture and governance decisions
Preferred Skills
  • Experience with cloud AI platforms (AWS, Azure, or GCP)
  • Exposure to distributed AI systems and scalable inference architectures
  • Familiarity with Responsible AI and enterprise governance frameworks

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