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Pytorch Developer Jobs in North Carolina (NOW HIRING)

Required : • Proficiency in Python and ML libraries (TensorFlow, PyTorch, Hugging Face, SpaCy ... and DevOps. Founded in 2009, the company is headquartered in Charlotte, USA, with a team of 501 ...

PYTORCH or TensorFlow; CI/CD pipelines and regression testing • AI/ML expertise: Machine learning ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...

Dot Net AI Developer

Charlotte, NC · On-site

$47.25 - $62.25/hr

NET. - Azure OpenAI / OpenAI APIs. - Python, TensorFlow, PyTorch, or Scikit-learn. - Experience with Azure/AWS cloud platforms. - Familiarity with Docker, Kubernetes, Git, CI/CD pipeline. - Good ...

Role : Gen AI ML Engineer Location :Charlotte, NC Hire type : Contract Qualifications * Bachelor ... PyTorch), and APIs. * Excellent hands on experience in Python, LLM, RAG, Vector Databases ...

MLOps Engineer Job Location: Charlotte - North Carolina - USA Job Type: Contract * 4 to 6 years of ... flow PyTorch Hugging Face Transformers and libraries like scikitlearn etc * 4 to 6 years of ...

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

Claude Microsoft GitHub Copilot PyTorch What are the top skills required for this role? 1. Hands on ... and prompt engineering frameworks 3. Participate in cross-functional GenAI initiatives and PoC ...

... PyTorch, Scikit-Learn, or equivalent ML frameworks. • Experience building scalable data pipelines ... AI Engineering). Company : Tata Consultancy Services is a business solutions company that ...

Gen AI Engineer Location: Charlotte, NC Duration: 12 Months + Extension Bill Rate: $94/hr Job Type ... PyTorch/TensorFlow, Hugging Face, Transformers * Experience with LLM fine-tuning LoRA, QLoRA, PEFT

New

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging ...

Showing results 21-40

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 cities in North Carolina are hiring for Pytorch Developer jobs? Cities in North Carolina with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in North Carolina as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Full-time

Re-posted 9 days ago


Job description

Job Summary:
Euclid Innovations is seeking a skilled and experienced Machine Learning Engineer to design and implement solutions for extracting, processing, and storing information from large-scale document repositories. The role involves working with advanced NLP and machine learning techniques to build scalable use cases.
Responsibilities:
• design and implement solutions for extracting, processing, and storing information from large-scale document repositories
• work with advanced NLP and machine learning techniques
• integrate vector databases
• build scalable use cases like semantic search, question answering, and document clustering
Qualifications:
Required:
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Hugging Face, SpaCy, etc.)
• Experience with OCR tools (e.g., Tesseract, AWS Textract, Google Vision)
• Strong understanding of embeddings, vectorization, and search techniques
• Familiarity with vector databases like Pinecone, Weaviate, Milvus, or FAISS
• Expertise in APIs, REST, and cloud platforms (AWS, Azure, GCP)
• Knowledge of distributed systems and workflow automation tools
Company:
Euclid Innovations specializes in product development, application development, risk management, computational solutions, and DevOps. Founded in 2009, the company is headquartered in Charlotte, USA, with a team of 501-1000 employees. The company is currently Late Stage.