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Pytorch Developer Jobs in North Carolina (NOW HIRING)

RAPID EAGLE INC

Python Developer

Charlotte, NC

$55 - $75/hr

Python Developer Onsite Role Charlotte NC Key Responsibilities • Build and maintain large-scale ... PyTorch and integrate them into production systems. • Develop and orchestrate ETL and ML ...

RAPID EAGLE INC

Python Developer

Charlotte, NC

$55 - $75/hr

Python Developer Onsite Role Charlotte NC Key Responsibilities • Build and maintain large-scale ... PyTorch and integrate them into production systems. • Develop and orchestrate ETL and ML ...

Marencor

ML Engineer

Charlotte, NC · On-site

ML Engineer Location : Charlotte Contract : 12 months JD: * Advanced degree (Master's or Ph.D.) in ... TensorFlow, PyTorch, scikit-learn, NLP, LLM, GenAI) * Design and conduct experiments to test ...

CoVar

Machine Learning Engineer

Durham, NC

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 ...

flyExclusive

AI Software Developer

Raleigh, NC · On-site

... PyTorch, or similar) and taking models from prototype to production. • Solid experience with REST APIs, backend services, and cloud platforms -- Azure preferred (AWS or Google Cloud acceptable ...

Euclid Innovations

ML Engineer

Charlotte, NC · On-site

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 ...

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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 North Carolina? For Pytorch Developer jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in North Carolina look for? The top searched job categories for Pytorch Developer jobs in North Carolina are:
What cities in North Carolina are hiring for Pytorch Developer jobs? Cities in North Carolina with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in North Carolina as of July 2026, with employment types broken down into 83% Full Time, 4% Part Time, 2% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
Python Developer

Python Developer

RAPID EAGLE INC

Charlotte, NC

$55 - $75/hr

Full-time

Re-posted 21 days ago

Job description

Python Developer
Onsite Role
Charlotte NC
Key Responsibilities
     •    Build and maintain large-scale data processing pipelines using Apache Spark for batch and streaming data.
     •    Design and implement ML training and inference workflows using PyTorch and integrate them into production systems.
     •    Develop and orchestrate ETL and ML pipelines with Apache Airflow, ensuring reliability, scalability, and observability.
     •    Optimize performance of data pipelines and ML model training on distributed clusters.
     •    Collaborate with Data Scientists and ML Engineers to productize models and deploy them into production environments.
     •    Implement best practices for code quality, CI/CD, unit testing, and monitoring.
     •    Ensure data quality, integrity, and security across all pipelines.
     •    Troubleshoot performance bottlenecks and optimize resource utilization.
     •    Stay up to date with advancements in ML frameworks, distributed computing, and workflow orchestration tools.
Required Qualifications
     •    Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
     •    5+ years of professional Python development experience, with strong object-oriented programming and software engineering fundamentals.
     •    Hands-on experience with PyTorch for model training and inference.
     •    Deep understanding of Apache Spark for distributed data processing (PySpark or Scala is a plus).
     •    Strong experience with Apache Airflow for workflow orchestration in production environments.
     •    Proficiency in SQL and working with relational and NoSQL databases.
     •    Experience with Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
     •    Familiarity with data versioning and ML model lifecycle management (MLflow or similar).
     •    Strong problem-solving and debugging skills in distributed systems.
Preferred Skills
     •    Experience with real-time data processing frameworks (Kafka, Flink).
     •    Knowledge of feature stores, data lake architectures, and Delta Lake.
     •    Familiarity with MLOps practices (CI/CD for ML, model registry, automated retraining).
     •    Experience with GPU-accelerated ML training and performance optimization.
     •    Contribution to open-source ML or data engineering projects.
 
Rapid Eagle logo

About Rapid Eagle

Sourced by ZipRecruiter

Rapid Eagle is dedicated to delivering testing solutions that help organizations take on important initiatives and reach their goals. They have a strong understanding of various industries and functions, utilize advanced technology, and operate on a global scale. The company encourages a culture of entrepreneurial thinking at all levels, promoting ownership, leadership, and accountability. What sets Rapid Eagle apart is their expertise in providing comprehensive testing solutions. They have a specialized team with extensive knowledge and experience, combining traditional values, a strong work ethic, and expertise in specific domains. The management team also has a deep understanding of client expectations. In short, Rapid Eagle Technologies is an IT company that focuses on testing solutions, brings together a skilled team with industry expertise, and strives to meet client expectations.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2005

Social media

Twitter

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