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Pytorch Developer Jobs in Raleigh, NC (NOW HIRING)

Pwc

AI Solutions Engineering Delivery Lead

Raleigh, NC · On-site

$99K - $131K/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 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 Raleigh, NC? For Pytorch Developer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Raleigh, NC look for? The top searched job categories for Pytorch Developer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Pytorch Developer jobs? Cities near Raleigh, NC with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution.

AI Engineer (LLMs for Healthcare)

Keebler Health

Durham, NC • On-site

Full-time

Re-posted 5 days ago

Job description

About Keebler Health
Keebler Health is building the operating system for value-based care. Our mission is to help risk-bearing healthcare organizations thrive in value-based arrangements by unlocking the full power of their data. We empower leading primary care groups, ACOs, and health plans to act on real-time insights that improve outcomes, reduce costs, and fuel sustainable growth.
We're a fast-moving, high-performing team, and we're looking for people who share our bias toward speed, urgency, and excellence. As a member of the team, you won't just write code or stay in your lane-you'll shape critical systems, innovate quickly, and set a high bar for a product that supports the future of U.S. healthcare.
About the role
We are seeking a talented and motivated mid to senior level AI Engineer with expertise in developing and fine-tuning large language models (LLMs), healthcare workflows, and AI/ML engineering best practices. The ideal candidate will bring a deep understanding of healthcare-specific challenges and modern AI techniques to drive innovation in Value-Based Care solutions. Level and salary will commensurate with experience.
Key Responsibilities
AI/ML Engineering
  • Fine-tune and optimize large language models (LLMs) to address specific healthcare applications.
  • Develop and apply advanced prompt engineering techniques to enhance model outputs for clinical scenarios.
  • Implement Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets.
  • Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced decision-making.
  • Evaluate black-box models using precision, recall, and other performance metrics, ensuring robustness and reliability.
Healthcare Expertise
  • Collaborate with healthcare professionals to understand workflows and identify opportunities for AI-driven enhancements.
  • Design and build AI models that align with healthcare standards and regulations (e.g., HIPAA compliance).
  • Integrate domain-specific knowledge of healthcare data, including FHIR and interoperability standards, into AI solutions.
MLOps & Deployment
  • Develop and maintain scalable, production-ready AI pipelines using MLOps tools.
  • Deploy and monitor AI models in production environments to ensure performance and compliance.
  • Optimize infrastructure for efficient training, testing, and deployment of models.
Innovation and Optimization
  • Stay at the forefront of advancements in AI, especially in healthcare applications.
  • Identify and resolve performance bottlenecks in AI workflows.
  • Explore emerging trends and technologies in LLMs and healthcare to continually improve solutions.

Collaboration and Impact
  • Partner with cross-functional teams, including data engineers and clinicians, to ensure seamless integration of AI into healthcare workflows.
  • Communicate technical results and insights effectively to non-technical stakeholders.

Required Qualifications
  • Proven experience in LLM fine-tuning and advanced prompt engineering.
  • Strong background in Python and modern ML frameworks (e.g., Huggingface, pyTorch).
  • Familiarity with healthcare workflows and regulatory requirements (e.g., HIPAA, FHIR standards).
  • Hands-on experience with retrieval-augmented generation (RAG) techniques.
  • Expertise in evaluating AI models using performance metrics like precision, and recall.

Preferred Skills
  • Experience with MLOps frameworks such as MLflow, Langfuse, or similar tools.
  • Understanding of healthcare data standards, including HL7 and HEDIS metrics.
  • Strong problem-solving skills in integrating AI with complex healthcare datasets.
  • Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

When applying
In addition to your resume, also include:
  • A highly personalized, bold, and hilarious "Keebler Health-style" introduction that grabs attention - outgoing, fun, and uniquely you (not uniquely ChatGPT). Think: confident, high-energy, slightly irreverent (but still professional), with a smart nod to healthcare, value-based care, and the fact that we're building something real.

What We Offer
  • Competitive salary and benefits package.
  • Opportunity to work in a fast-paced, innovative environment.
  • Professional growth and development opportunities.
  • Collaborative and supportive team culture.
  • Chance to make a meaningful impact on the healthcare industry.

Apply