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Tensorflow Pytorch Jobs in Sterling, VA (NOW HIRING)

VTG

Data Scientist

Herndon, VA

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) * Strong foundation in statistics, probability, and data analysis techniques * Experience with SQL and working ...

VTG

Data Scientist

Chantilly, VA

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) * Strong foundation in statistics, probability, and data analysis techniques * Experience with SQL and working ...

VTG

Data Scientist

Mclean, VA · On-site

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) * Strong foundation in statistics, probability, and data analysis techniques * Experience with SQL and working ...

MDAEdge

Data Scientist - TS/SCI with Poly

Mclean, VA · On-site

Responsibilities : • Develop code to perform complex modeling to detect and characterize objects (using Python, TensorFlow, Pytorch, and related software packages) and enhance evolving analytic ...

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn. * Data Science and Analysis: Skills in data acquisition, cleaning, preprocessing, and feature engineering are ...

ECS

AI Model Developer with Security Clearance

Fairfax, VA · On-site

$125K - $150K/yr

Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers). * Full Stack: Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React ...

UNISSANT

Senior Data Scientist

Washington, DC · On-site

Expert proficiency in advanced ML and AI: deep learning (TensorFlow, PyTorch, Keras), ensemble methods (XGBoost, Random Forest), Bayesian methods, and multi-objective optimization algorithms.

VTG

Data Scientist

Chantilly, VA · On-site

Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) * Strong foundation in statistics, probability, and data analysis techniques * Experience with SQL and working ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Sterling, VA

Tensorflow Pytorch information

See Sterling, VA salary details

$37.1K

$121.6K

$194.6K

How much do tensorflow pytorch jobs pay per year?

As of Jul 31, 2026, the average yearly pay for tensorflow pytorch in Sterling, VA is $121,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,700.00 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.

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.

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

AI/ML Consultant - Red Hat / Virtualization Focus - Remote

Vinsys Information Technology Inc

Dulles, VA • Remote

Contractor

Re-posted 20 hours ago

Job description

The AI/ML Consultant is responsible for designing, implementing, and optimizing artificial intelligence and machine learning solutions within enterprise environments. The role involves leveraging Red Hat (e.g., OpenShift AI, Ansible, RHEL AI) or other virtualization technologies to deploy scalable ML models and ensure integration with cloud or on-premises infrastructure. This is a Vinsys in-house/own project engagement. If interested, pl. Share a copy of your resume to hr@vinsysinfo.com along with your salary / rate expectations and the best time to reach you.
 
Key Responsibilities:
  • Assess client needs and design AI/ML strategies aligned with business goals.
  • Build, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Implement containerized AI/ML solutions on Red Hat OpenShift or similar virtualization/container platforms (VMware, KVM, Docker, Kubernetes).
  • Automate deployment and lifecycle management with Red Hat Ansible or equivalent tools.
  • Integrate AI/ML workloads with existing enterprise systems and CI/CD pipelines.
  • Ensure scalability, security, and compliance of deployed models.
  • Provide technical consulting, solution architecture, and knowledge transfer to client teams.
Required Skills and Experience:
  • Strong background in AI/ML algorithms, model lifecycle, and data processing.
  • Hands-on experience with Red Hat technologies (OpenShift, RHEL AI, Ansible Automation Platform) or other virtualization/containerization platforms.
  • Expertise in cloud environments (AWS, Azure, or GCP) with hybrid or multi-cloud deployment knowledge.
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
  • Experience with MLOps practices and tools.
  • Knowledge of Linux system administration and virtualization concepts.
Preferred:
  • Red Hat Certified Specialist or Architect certifications.
  • Exposure to edge AI and GPU-accelerated workloads.
  • Experience consulting in government or enterprise IT environments.