ZipRecruiter

Log In

1

Pytorch Developer Jobs in Columbus, OH (NOW HIRING)

URSI Technologies Inc.

python developer

Columbus, OH · On-site

$47 - $64.75/hr

Job Title: Senior Python Developer (AI & AWS) Experience: 6-10 Years (Python Development) AI ... TensorFlow or PyTorch (preferred) AWS Cloud (Must Have) * AWS Lambda * Amazon EC2 * Amazon S3

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 ...

Bespoke Labs

Machine Learning Engineer

Columbus, OH · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

JPMorganChase

Senior Lead Security Engineer, AI

Columbus, OH · On-site

$110K - $151K/yr

PyTorch or TensorFlow; scikit-learn; LangChain/LlamaIndex; ONNX/Triton/Ray. • Strong ... Preferred : • Experience building developer copilots for AppSec/DevSecOps (IaC scanning, secrets ...

Battelle

Software Engineer

Columbus, OH · On-site

Exposure to machine learning or deep learning frameworks (e.g., TensorFlow or PyTorch) for ... Engineering Process / Environment * Familiarity with software lifecycle processes including ...

next page

Showing results 1-20

All JobsPytorch Developer JobsPytorch Developer Jobs in Columbus, OH

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 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

python developer

URSI Technologies Inc.

Columbus, OH • On-site

$47 - $64.75/hr

Other

Posted 9 days ago

Job description

Job Title: Senior Python Developer (AI & AWS)

Experience: 6–10 Years (Python Development)
AI Experience: 2–3 Years
Cloud Experience: 5–8 Years (AWS Preferred)
Location: [Location]
Employment Type: Full-Time

Job Summary

We are looking for a highly skilled Senior Python Developer with strong application development experience and a passion for building scalable, cloud-native solutions. The ideal candidate will have extensive experience in Python development, hands-on experience with AI technologies, and strong expertise in AWS cloud services.

Key Responsibilities
  • Design, develop, and maintain scalable, high-performance Python applications.
  • Build and enhance AI-powered applications using modern AI/ML and Generative AI technologies.
  • Develop RESTful APIs and microservices using FastAPI, Flask, or Django.
  • Design and implement cloud-native applications using AWS services.
  • Integrate Large Language Models (LLMs), AI APIs, and automation solutions into enterprise applications.
  • Optimize application performance, scalability, security, and reliability.
  • Collaborate with cross-functional teams to define, design, and deliver high-quality software solutions.
  • Participate in architecture discussions, code reviews, testing, deployment, and production support.
Required Qualifications
  • Bachelor''s degree in Computer Science, Engineering, or a related field.
  • 6–10 years of hands-on Python development experience.
  • 2–3 years of experience working with AI/ML or Generative AI technologies.
  • 5–8 years of experience working with AWS cloud services.
  • Strong experience designing and developing enterprise applications.
  • Excellent understanding of object-oriented programming, design patterns, and software engineering best practices.
Required Technical SkillsProgramming
  • Python
  • FastAPI, Flask, or Django
  • REST APIs & Microservices
  • SQL (PostgreSQL/MySQL)
  • MongoDB or DynamoDB
  • Git/GitHub
Artificial Intelligence
  • Generative AI
  • Large Language Models (LLMs)
  • OpenAI API, Anthropic Claude, or Amazon Bedrock
  • LangChain or LangGraph
  • Hugging Face
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • TensorFlow or PyTorch (preferred)
AWS Cloud (Must Have)
  • AWS Lambda
  • Amazon EC2
  • Amazon S3
  • Amazon API Gateway
  • Amazon Bedrock
  • Amazon SageMaker
  • Amazon RDS
  • Amazon DynamoDB
  • AWS IAM
  • Amazon CloudWatch
  • Amazon ECS/EKS
  • AWS CloudFormation or Terraform
  • AWS CodePipeline / CodeBuild / CodeDeploy
Preferred Skills
  • Docker and Kubernetes
  • CI/CD pipelines
  • Terraform or AWS CDK
  • Redis or Kafka
  • Experience building AI assistants, chatbots, or intelligent automation platforms.
  • AWS Certification is an added advantage.
Required Experience Summary
  • Python Development: 6–10 Years
  • Artificial Intelligence / Generative AI: 2–3 Years
  • AWS Cloud Services: 5–8 Years
Soft Skills
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.
  • Ability to work independently and in a fast-paced Agile environment.
  • Strong ownership mindset with the ability to deliver high-quality, production-ready solutions.

Apply