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Pytorch Developer Jobs in South Carolina (NOW HIRING)

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Software Engineer

Columbia, SC · On-site

$120 - $160/hr

Implement and oversee DevOps methodologies to ensure software integrity, maintainability, and ... learning frameworks (TensorFlow, PyTorch, or Scikit-learn) to enhance system efficiency.

New

Implement and oversee DevOps methodologies to ensure software integrity, maintainability, and ... learning frameworks (TensorFlow, PyTorch, or Scikit-learn) to enhance system efficiency.

Software Engineer II

Clinton, SC · On-site

$92K - $126K/yr

The Software Engineer II designs, develops, tests, and documents software for embedded systems and ... Experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, or ONNX. * Familiarity ...

Applied AI Engineer

Kneece, SC · On-site

$121.62 - $217.71/hr

Optional AI/ML certifications (e.g., TensorFlow Developer, Hugging Face Course, or Generative AI ... Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.

New

... 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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Showing results 1-20

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 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 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 cities in South Carolina are hiring for Pytorch Developer jobs?

Cities in South Carolina with the most Pytorch Developer job openings:

Infographic showing various Pytorch Developer job openings in South Carolina as of August 2026, with employment types broken down into 80% Full Time, 6% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

AI Engineer Mercedes-Benz Vans, LLC, Charleston, SC Start from: immediately

Daimler AG

Charleston, SC • On-site

$80 - $100/hr

Other

Retirement

Posted 2 days ago

New


Daimler Truck North America rating

8.3

Company rating: 8.3 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

2nd of 45 rated automakers


Job description

Tasks

Shape the future today.

The world is changing. The question is, what will be our contribution to the outcome? We have set the pace in the field of mobility from the very beginning, and we will continue to do so. At Mercedes-Benz Vans, interdisciplinary teams are developing the mobility of tomorrow. Our goal is to make mobility safer, simpler, and more sustainable for people across the globe. Put your pioneering spirit to good use: This is your opportunity to make a contribution that extends far beyond your job title.

At Mercedes-Benz Vans, we offer you the perfect environment for your professional and personal growth. Cutting-edge training and promising career opportunities will help you to foster and expand your professional skill set as well as your individual strengths. Think, try, and thrive with us in collaborative work environments that spark game‑changing concepts.

Job Overview
  • Designs and implements AI and machine learning solutions to improve manufacturing and business processes.
  • Works with cross‑functional teams to integrate AI into production systems and decision‑making.
  • Supports full AI lifecycle from development to deployment and continuous improvement.
Responsibilities
  • Develop and deploy machine learning models and AI applications using frameworks such as TensorFlow, Spark MLlib, and other AI tools to solve complex problems involving natural language processing, data mining, and unsupervised learning.
  • Conduct model training, validation, and deployment ensuring robustness and accuracy across various AI applications.
  • Utilize cloud services such as AWS for model deployment and scaling AI applications in production environments.
  • Analyze large datasets to identify trends and optimization opportunities.
  • Build and maintain data pipelines and AI systems.
  • Collaborate with engineering and operations teams to integrate AI solutions into existing systems using Java, Python, R, SAS, VBA, and other programming languages.
  • Define and track KPIs for AI solutions.
Financial Responsibilities
  • Support budget tracking and ROI evaluation for AI projects.
  • Develop dashboards and visualizations using Looker or similar tools to communicate insights effectively to stakeholders.
  • Perform root cause analysis using AI techniques.
  • Ensure data governance and compliance.
  • Document models and provide training.
  • Manage AI‑related projects and timelines.
  • Stay current with advancements in machine learning frameworks, natural language processing techniques, big data technologies like Hadoop and Spark, and emerging trends in AI.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 3–5 years of AI/ML or data engineering experience preferred.
  • Manufacturing or automotive experience preferred.
  • Machine learning frameworks (TensorFlow, PyTorch).
  • Programming in Python or similar.
  • Cloud platforms experience (Azure, AWS).
  • Data analysis and database knowledge.
  • Proven experience in AI development with a strong understanding of machine learning algorithms including supervised and unsupervised learning methods.
  • Proficiency in programming languages such as Python, Java, R, C, VBA, Bash (Unix shell), with hands‑on experience in model training and deployment.
  • Extensive knowledge of big data tools like Hadoop, Spark, Talend, ETL processes, SQL databases, and database design principles.
  • Knowledge of natural language processing techniques and applications in real-world scenarios.
  • Strong analytical and problem‑solving skills with the ability to interpret complex data sets effectively.
Benefits

Excellent compensation & benefits plan with 401k matching.

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What Daimler Truck North America employees say

Pay

Benefits

Hours and flexibility

Workplace

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