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Pytorch Developer Jobs in Columbus, OH (NOW HIRING)

Tata Consultancy Services

Gen AI Developer Intern

Dublin, OH · On-site

$18.50 - $24.50/hr

As a Gen Ai developer Intern you will be trained to deliver a POC/POT/MVP by designing, developing ... PyTorch, Flask, Django, AWS Sagemaker, AWS Bedrock and Azure - ML Studio, cognitive services ...

Lorven Technologies

AI Engineer

Columbus, OH · On-site

Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn ... Experience with GitHub Actions, Jenkins, or Azure DevOps.

JP Morgan Chase

Senior Lead AI Security Engineer

Columbus, OH · On-site

$107K - $147K/yr

PyTorch or TensorFlow; scikit-learn; LangChain/LlamaIndex; ONNX/Triton/Ray * Strong understanding ... Experience building developer copilots for AppSec/DevSecOps (IaC scanning, secrets detection, SAST ...

Pwc

AI Solutions Engineering Delivery Lead

Columbus, OH

$99K - $130K/yr

... PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud ...

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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 Columbus, OH?

For Pytorch Developer jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Pytorch Developer jobs in Columbus, OH look for?

The top searched job categories for Pytorch Developer jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Pytorch Developer jobs?

Cities near Columbus, OH with the most Pytorch Developer job openings:

Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Columbus, OH as of July 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Applications Developer

Ohio State University

Columbus, OH • On-site

$81.80 - $106.90/hr

Other

Re-posted 7 days ago

Job description

Senior Applications Developer

Department: Arts and Sciences | Information Technology

Location: Mendenhall Laboratory (0054); Salary range: $81,800 – $106,900; Position type: Regular; Scheduled Hours: 40; Shift: First Shift.

Job Overview: The Senior Applications Developer for the Social & Behavioral Sciences (SBS) portal will act as a critical technical partner for faculty, supporting both instructional and research AI projects. The role leads the design and implementation of sophisticated AI software solutions that address complex social phenomena, including ensuring applications meet functional, technical, and security requirements.

Responsibilities:

  • Serve as a dedicated technical partner to faculty, guiding AI project discovery and prototype development.
  • Design and implement full‑stack custom software solutions that meet a variety of needs.
  • Ensure applications meet functional, technical, and security requirements and comply with industry standards.
  • Develop and implement software validation and testing methods, and monitor application performance.
  • Perform detailed problem analysis, identify options, and propose solutions.
  • Develop reports, dashboards, and other visuals to support management and strategic decision‑making.

Qualifications:

  • Minimum Education: Bachelor’s degree in Computer Science, Data Science, Digital Humanities, or related field; four years of relevant experience.
  • Proficiency in implementing and fine‑tuning models using PyTorch or TensorFlow.
  • Experience building NLP pipelines for Named Entity Recognition, Topic Modeling, and Sentiment Analysis.
  • Proven ability to apply object detection and style classification using libraries like OpenCV.
  • Experience configuring and managing cloud or high‑performance computing environments for GPU‑intensive tasks (AWS, Azure, HPC clusters).
  • Master’s degree in Computer Science, Data Science, Digital Humanities, or related field is desirable.

Background check required. Possible drug screen or physical may be required during the post‑offer process.

To ensure compliance with anti‑discrimination laws, Ohio State is an equal‑opportunity employer, including veterans and people with disabilities.

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