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Pytorch Developer Jobs (NOW HIRING)

cyberThink, Inc.

AI Full Stack Developer

San Jose, CA · On-site

Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications. * Backend & API Engineering: Build and maintain scalable backend ...

PROLIM Global Corporation

AI Software Developer

AI Software Developer Location: Minneapolis, MN(Remote) As a AI Software Developer, you will design ... Proficiency in Python and AI frameworks (TensorFlow, PyTorch). Experience with cloud platforms ...

New

SBT Global, Inc.

AI Full Stack Developer

San Jose, CA

$13K/mo

Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications. * Backend & API Engineering: Build and maintain scalable backend ...

SBT Global, Inc.

AI Full Stack Developer

San Jose, CA · On-site

$13K/mo

Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications. * Backend & API Engineering: Build and maintain scalable backend ...

SBT Global, Inc.

AI Full Stack Developer

San Jose, CA · On-site

Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications. * Backend & API Engineering: Build and maintain scalable backend ...

Gyansys

Python Developer

Santa Clara, CA · On-site

$58.50 - $80.75/hr

Job Title: Python Developer Location: Santa Clara, CA Job Type: Full-Time Job Summary We are ... Experience with AI/ML frameworks such as TensorFlow or PyTorch. * Experience with Databricks, Spark ...

Capgemini

AI Solutions Developer

New York, NY · On-site

$55 - $75.75/hr

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and ... Work closely with product engineering and business teams to translate strategic requirements into ...

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn. * Data Science and Analysis: Skills in data acquisition, cleaning, preprocessing, and feature engineering are ...

United Airlines

AI Solutions Developer

Manhattan, NY

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and ... Work closely with product engineering and business teams to translate strategic requirements into ...

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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.
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Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
AI Full Stack Developer

AI Full Stack Developer

cyberThink, Inc.

San Jose, CA • On-site

Other

Posted 9 days ago

Job description

Job Summary

We are looking for a highly motivated AI Full Stack Developer to join our team to build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic architectures. As a Full-stack AI Developer, will bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic and machine learning models. Will be responsible for building, testing, and scaling AI-driven products.

Key Responsibilities

  • AI Application Development: Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features.
  • ML Model Integration: Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications.
  • Backend & API Engineering: Build and maintain scalable backend services and RESTful APIs, often integrated with large language models (LLMs) and agentic frameworks.
  • Frontend Development: Create interactive, responsive front-end components for user interfaces using modern frameworks like React, Vue, or Next.js.
  • MLOps & Deployment: Manage end-to-end life cycles for production, including deployment workflows using Kubernetes, Cloud Run, or containerization tools to ensure high-performance applications.
  • Database Management: Manage both relational and NoSQL databases to support AI-powered functionality.
  • Collaboration: Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products.

Required Qualifications & Skills

  • Experience: Proven experience(5~8 yrs. for Middle Level) as a Full Stack Developer with specialized experience in AI model deployment.
  • Backend Skills: Strong proficiency in Python and frameworks like FastAPI or Django.
  • Frontend Skills: Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI).
  • AI/ML Knowledge: Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch).
  • Cloud/DevOps: Experience in Cloud platforms (AWS, Google Cloud Platform, Azure) and container technologies (Docker, Kubernetes).
  • Education: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, or a related field.

Preferred Qualifications

  • Experience with generative AI and agentic architectures.
  • Understanding of data privacy and security in AI applications.
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Apply