2

Full Time Pytorch Jobs in Raleigh, NC (NOW HIRING)

AI Solutions Engineer

Raleigh, NC · On-site

$121K - $173K/yr

Job Type Full-time Description Since 2004, Vadum has built a brand known for practical innovation ... Strong Python skills and familiarity with AI/ML libraries (PyTorch, TensorFlow, LangChain ...

AI Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

EEO/About Us Benefits Along with competitive pay, as a full-time Infosys employee you are also ... like TensorFlow or PyTorch. Design, develop, and deploy generative AI models for various ...

Showing results 21-24

Full Time Pytorch information

What is the difference between Full Time Pytorch vs Machine Learning Engineer?

AspectFull Time PytorchMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, Data Science, or related fields; experience with PytorchBachelor's or higher in CS, Data Science, or related fields; experience with ML frameworks including Pytorch
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learning projectsTech companies, startups, or R&D teams working on ML solutions
Employer & Industry UsagePrimarily in AI research, deep learning projects, and model developmentDeveloping, deploying, and maintaining ML models across various industries

While both roles require knowledge of Pytorch, a Full Time Pytorch position typically focuses on implementing and experimenting with deep learning models using Pytorch. A Machine Learning Engineer often has a broader scope, including deploying models, optimizing algorithms, and working across different ML frameworks. The roles overlap in skills but differ in responsibilities and application scope.

What are the most commonly searched types of Pytorch jobs in Raleigh, NC?

The most popular types of Pytorch jobs in Raleigh, NC are:

What are popular job titles related to Full Time Pytorch jobs in Raleigh, NC?

For Full Time Pytorch jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Full Time Pytorch jobs in Raleigh, NC look for?

The top searched job categories for Full Time Pytorch jobs in Raleigh, NC are:

Infographic showing various Full Time Pytorch job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.

AI Solutions Engineer

Vadum, Inc.

Raleigh, NC • On-site

$121K - $173K/yr

Full-time

Re-posted yesterday


Job description

Job Type
Full-time
Description
Since 2004, Vadum has built a brand known for practical innovation that delivers solutions to customers in the competitive field of national defense research and development.
We are seeking a talented and innovative AI Solutions Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and deploying general AI solutions. The ideal candidate will be a generalist and have broad experience in Large Language Models (LLMs), agentic AI, and computer vision. This role sits at the intersection of engineering, product, and customer success, ideal for someone who can solve complex technical problems while working directly with customers to deliver high-impact pilot programs and integrations.
The AI Solutions Engineer will own technical delivery from solution design through deployment, helping customers adopt next-generation AI capabilities while shaping best practices and product evolution. If you are passionate about artificial intelligence and enjoy solving complex technical challenges, we invite you to become a part of our forward-thinking organization.
Key Responsibilities
Solutions Design & Development
  • Architect and build LLM-enabled workflows, generative-AI pipelines, and custom integrations.
  • Architect and build computer vision feature extraction, classification, and object detection pipelines.
  • Develop prototypes, proof of concept, and small-scale pilot systems aligned with customer use cases.
  • Collaborate with product and research teams to translate requirements into scalable, production-ready solutions.

Customer Integration & Deployment
  • Lead technical discovery, solution scoping, and integration planning with customer engineering teams.
  • Deploy AI pilots into customer environments (cloud, on-prem, hybrid).
  • Build and support data ingestion pipelines, API integrations, agent frameworks, and evaluation systems.
  • Troubleshoot technical issues and guide customers through adoption and operationalization.

Technical Support & Enablement
  • Provide hands-on technical guidance to customers during pilot and post-deployment phases.
  • Develop documentation, reference architectures, and repeatable implementation patterns.
  • Train customer teams on best practices for general AI systems and workflow integration.
  • Serve as the technical advocate for customers internally and influence future product direction.

Cross-Functional Collaboration
  • Work closely with engineering to relay customer feedback, edge cases, and new integration requirements.
  • Partner with sales and customer success to support pre-sales demos, solutioning, and scoping discussions.
  • Contribute to internal and external technical materials (whitepapers, demos, templates).

Requirements
Skills and Qualifications
Required:
  • Ability to obtain Security Clearance.
  • Bachelor's degree or higher in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 7+ years of experience in software engineering, ML engineering, or solutions engineering.
  • Hands-on experience with LLM pipelines and workflows as well as computer vision feature extraction, classification, and object detection.
  • Strong Python skills and familiarity with AI/ML libraries (PyTorch, TensorFlow, LangChain, LlamaIndex, etc.).
  • Experience deploying AI applications via cloud platforms (AWS, GCP, Azure) or on-prem environments.
  • Demonstrated success delivering customer-facing pilots, proofs of concept, or integrations.
  • Excellent communication skills with the ability to translate technical concepts to diverse audiences.

Preferred:
  • Familiarity with MLOps workflows, CI/CD, containerization (Docker/Kubernetes).
  • Background in enterprise data systems or API-first architectures.
  • Previous technical consulting or field engineering experience

Work Environment
Work is performed in an office environment.
Travel
Occasional travel may be required.
What You'll Bring
  • A builder mindset with the ability to deliver end-to-end AI solutions.
  • Comfort working with ambiguity and inventing new workflows using emerging tools.
  • The ability to collaborate cross-functionally and drive successful customer outcomes.
  • Passion for generative AI and a desire to shape how organizations adopt it.

Join our innovative team and be part of a company that values technological excellence, continuous learning, and professional growth. We offer a collaborative work environment, competitive benefits, and opportunities to work on cutting-edge projects.
EEO Statement
Vadum, Inc. is an equal opportunity affirmative action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, age, genetic trait, sexual orientation, national origin, disability status, or any other characteristic protected by law.
Vadum, Inc. is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact the Human Resources Manager at (919) 341-8241 ext.: 180.
Salary Description
Salary Range $121k to $173k (DOE)