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Pytorch Developer Jobs in Raleigh, NC (NOW HIRING)

Tata Consultancy Service Limited

AI Engineer

Cary, NC · On-site

$100K - $120K/yr

... PyTorch, Scikit learn) • Experience working with structured and unstructured data • Knowledge of SQL and data processing libraries (Pandas, NumPy) • Experience deploying models using APIs ...

Covar

Machine Learning Engineer

Durham, NC · On-site

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 ...

Frontier Technology Inc.

AI/ML Engineer

Raleigh, NC · Remote

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Frontier Technology Inc.

AI/ML Engineer

Raleigh, NC · On-site +1

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Frontier Technology Inc.

AI/ML Engineer

Durham, NC · Remote

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Frontier Technology Inc.

AI/ML Engineer

Raleigh, NC · Remote

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Frontier Technology Inc.

AI/ML Engineer

Durham, NC · Remote

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Frontier Technology Inc.

AI/ML Engineer

Durham, NC · On-site +1

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

Frontier Technology Inc.

AI/ML Engineer

Durham, NC · Remote

$140K - $220K/yr

Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy ... Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ...

Frontier Technology Inc.

AI/ML Engineer

Raleigh, NC · Remote

$140K - $220K/yr

Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy ... Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ...

Frontier Technology

AI/ML Engineer

Durham, NC · Remote

$140K - $220K/yr

AI/ML Engineer ID 2026-6945 Category Engineering Type Regular Full-Time Location : Location US-NC ... Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ...

Frontier Technology

AI/ML Engineer

Raleigh, NC · Remote

$140K - $220K/yr

AI/ML Engineer ID 2026-6944 Category Engineering Type Regular Full-Time Location : Location US-NC ... Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ...

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 ...

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Pytorch Developer information

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 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 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 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 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:
Pytorch Developer jobs near you

AI Engineer

Tata Consultancy Service Limited

Cary, NC • On-site

$100K - $120K/yr

Full-time

Posted 20 days ago

Job description

AI Engineer
Must Have Technical/Functional Skills
• Strong programming skills in Python (mandatory)
• Solid understanding of machine learning algorithms and statistics
• Hands on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit learn)
• Experience working with structured and unstructured data
• Knowledge of SQL and data processing libraries (Pandas, NumPy)
• Experience deploying models using APIs, Docker, and cloud platforms (AWS/Azure/GCP)
• Familiarity with Git, CI/CD pipelines, and software engineering best practices
Preferred Skills (Good to Have)
• Experience with Generative AI / LLMs (OpenAI, Azure OpenAI, Hugging Face)
• Knowledge of MLOps tools (MLflow, Kubeflow, Airflow)
• Experience with big data technologies (Spark, Databricks)
• Exposure to computer vision or NLP use cases
Roles & Responsibilities
• Design, develop, and deploy machine learning and AI models for business applications
• Build and optimize data pipelines for model training, validation, and inference
• Implement algorithms using Python and ML/DL frameworks (TensorFlow, PyTorch, Scikit learn)
• Integrate AI models into applications using REST APIs, microservices, or cloud services
• Perform model evaluation, tuning, and performance optimization
• Monitor models in production for accuracy, drift, and reliability
• Collaborate with product managers, data scientists, and engineers to translate requirements into AI solutions
• Implement MLOps practices including versioning, CI/CD, and automated deployments
• Ensure adherence to Responsible AI, security, data privacy, and compliance standards
• Document models, pipelines, and deployment procedures
Salary Range- $100,000-$120,000 a year
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