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Tensorflow Pytorch Jobs in South Carolina (NOW HIRING)

Software Engineer

Columbia, SC · On-site

$120 - $160/hr

Demonstrated proficiency in AI and ML technologies, including modeling, and machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn) to enhance system efficiency. * Demonstrated proficiency ...

Software Engineer II

Clinton, SC · On-site

$92K - $126K/yr

Experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, or ONNX. * Familiarity with AI-assisted software development tools such as GitHub Copilot, Microsoft Copilot, or similar ...

Demonstrated proficiency in AI and ML technologies, including modeling, and machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn) to enhance system efficiency. * Demonstrated proficiency ...

... PyTorch, TensorFlow) * 1+ year experience translating research ideas into production systems. Preferred Qualifications: * Deep experience with graph representation learning, graph transformers (e.g ...

Applied AI Engineer

Kneece, SC · On-site

$121.62 - $217.71/hr

Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. * Knowledge of MLOps practices, including CI/CD pipelines, testing, and monitoring. * Familiarity ...

Tensorflow Pytorch information

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What are popular job titles related to Tensorflow Pytorch jobs in South Carolina?

For Tensorflow Pytorch jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in South Carolina look for?

The top searched job categories for Tensorflow Pytorch jobs in South Carolina are:

What cities in South Carolina are hiring for Tensorflow Pytorch jobs?

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

AI/ML Engineer - Vertex AI - Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durha

TechniPros, LLC

Columbia, SC • On-site

Other

Posted 12 days ago


Job description

Job Title: AI/ML Engineer – Vertex AI 
Location: Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC, Orlando, FL.
Looking for W2 candidates. No C2C

Job Summary
We are hiring an AI/ML Engineer with expertise in Google Cloud Platform (Google Cloud Platform) to develop enterprise AI solutions using Vertex AI, BigQuery ML, Generative AI, and cloud-native machine learning technologies.

Key Responsibilities
•    Develop AI/ML applications using Vertex AI. 
•    Build ML pipelines using Vertex Pipelines. 
•    Train and deploy models using TensorFlow and PyTorch. 
•    Implement Generative AI and RAG solutions. 
•    Develop BigQuery ML applications. 
•    Deploy scalable Kubernetes workloads. 
•    Build AI APIs using FastAPI. 
•    Implement model monitoring and AI observability. 
•    Optimize cloud-native AI infrastructure. 
•    Support production AI applications. 

Required Skills
•    Python 
•    SQL 
•    Google Cloud Platform 
•    Vertex AI 
•    BigQuery 
•    Machine Learning 
•    TensorFlow 
•    PyTorch 
•    Generative AI 
•    LLMs 
•    RAG 
•    Docker 
•    Kubernetes 
•    FastAPI 
•    Git 

Preferred Skills
•    Vertex Pipelines 
•    Kubeflow 
•    MLflow 
•    LangChain 
•    Vector Databases 
•    AI Monitoring 

Mandatory Skills
•    Python 
•    Google Cloud Platform 
•    Vertex AI 
•    Machine Learning 
•    TensorFlow 
•    PyTorch 
•    BigQuery 
•    Kubernetes 
•    FastAPI 
•    Docker 
•    Generative AI 


Best Regards: 
Lucy Rose
Phone: +1-
Email: