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Tensorflow Pytorch Jobs in Norfolk, VA (NOW HIRING)

Python, R, SQL, Spark, TensorFlow/PyTorch. * Expertise in Data Visualization tools (Tableau, Power BI, D3.js). * Coding knowledge/experience: Java, JavaScript, C, C++, etc. * A Data Science ...

Python, R, SQL, Spark, TensorFlow/PyTorch. * Expertise in Data Visualization tools (Tableau, Power BI, D3.js). * Coding knowledge/experience: Java, JavaScript, C, C++, etc. * A Data Science ...

Senior Data Scientist (N)

Norfolk, VA · On-site

$100 - $130/hr

Python, R, SQL, Spark, TensorFlow/PyTorch. * Expertise in Data Visualization tools (Tableau, Power BI, D3.js). * Coding knowledge/experience: Java, JavaScript, C, C++, etc. * A Data Science ...

Proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn, Keras) * Knowledge of NLP, deep learning, computer vision, and reinforcement learning * Prompt engineering and model fine-tuning ...

Proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn, Keras) * Knowledge of NLP, deep learning, computer vision, and reinforcement learning * Prompt engineering and model fine-tuning ...

Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or similar technologies. * Experience designing and maintaining enterprise data pipelines, ETL/ELT workflows ...

AI Specialist VBP

Virginia Beach, VA · On-site

$100K - $150K/yr

Proficiency with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit learn). * Experience with data modeling, feature engineering, and model evaluation techniques. * Ability to ...

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Tensorflow Pytorch information

See Norfolk, VA salary details

$36.3K

$118.8K

$190.1K

How much do tensorflow pytorch jobs pay per year?

As of Aug 19, 2026, the average yearly pay for tensorflow pytorch in Norfolk, VA is $118,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $131,600.00 per year, depending on experience, location, and employer.

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 Norfolk, VA?

For Tensorflow Pytorch jobs in Norfolk, VA, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Norfolk, VA look for?

The top searched job categories for Tensorflow Pytorch jobs in Norfolk, VA are:

What cities near Norfolk, VA are hiring for Tensorflow Pytorch jobs?

Cities near Norfolk, VA with the most Tensorflow Pytorch job openings:

Infographic showing various Tensorflow Pytorch job openings in Norfolk, VA as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $118,755 per year, or $57.1 per hour.

Artificial Intelligence Integrator (N)

SimIS Inc

Norfolk, VA • On-site

$90 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Job Overview

SimIS Inc., a Veteran Owned Small Business founded in 2007, seeks an Artificial Intelligence Integrator to support NATO HQ Supreme Allied Command Transformation (NATO SACT). The role involves capturing, developing, and architecting AI technologies for operational analysis and future threat adaptation.

Qualifications & Experience
  • BS degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), or Computer Science.
  • Minimum of 5 years’ experience in data science, machine learning, or AI engineering.
  • Minimum of 3 years’ experience integrating AI technologies into practical applications, preferably in simulation or wargaming contexts.
  • Minimum of 3 years’ experience in data collection, analysis, and visualisation using Python, R, Tableau, or Power BI.
  • Proficiency in AI and machine learning frameworks such as TensorFlow, PyTorch, or scikit‑learn.
  • Experience with generative AI models, particularly Large Language Models (LLMs) like GPT‑3 or GPT‑4.
Specific Requirements
  • Contribute to the integration of AI into NATO’s warfare development and capability efforts.
  • Collaborate with wargaming experts to identify AI impact on design, scenario development, analysis, adjudication, and support to human teams.
  • Support integration of traditional and generative AI into wargaming, enhancing strategic depth and execution.
  • Develop real‑time analytics and visualisations to support decision‑making during wargaming simulations, e.g., using Power BI.
  • Support human‑machine teaming through AI tools that enhance collaboration between participants and systems.
  • Design and conduct experiments to test AI applications in wargaming scenarios.
  • Document and present findings from AI integration experiments to stakeholders, proposing improvements.
Benefits
  • Medical, Dental, and Vision
  • Short‑Term Disability (at no cost to you) & Long‑Term Disability
  • Life Insurance
  • 401(k) Savings Plan
  • Flex Spending Accounts
  • Tuition Assistance Program
  • Professional Development
  • Paid Time Off (PTO)
  • 11 Federal Holidays each year
Equal Opportunity Employer

SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer.

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