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Tensorflow Pytorch Jobs in Raleigh, NC (NOW HIRING)

Tata Consultancy Service Limited

AI Engineer

Cary, NC · On-site

$100K - $120K/yr

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

CoVar

Machine Learning Engineer

Durham, NC

PYTORCH or TensorFlow; CI/CD pipelines and regression testing. * AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred ...

DPR Construction

MLOps Engineer

Raleigh, NC

Proficiencyinat least one objected-oriented programming language, preferably pythonwith hands-on experience inml frameworks like TensorFlow, PyTorch or Scikit-learn Required Skills * Experience with ...

Maximus

AI/ML Software Developer

Durham, NC · Remote

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

Maximus

AI/ML Software Developer

Raleigh, NC · Remote

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

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, Hugging Face, and LangChain. * Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or ...

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, Hugging Face, and LangChain. * Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or ...

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How much do tensorflow pytorch jobs pay per year?

As of May 29, 2026, the average yearly pay for tensorflow pytorch in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

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 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 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 Raleigh, NC? For Tensorflow Pytorch jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Raleigh, NC look for? The top searched job categories for Tensorflow Pytorch jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Tensorflow Pytorch jobs? Cities near Raleigh, NC with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you

AI Engineer

Tata Consultancy Service Limited

Cary, NC • On-site

$100K - $120K/yr

Full-time

Posted 21 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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