1

Tensorflow Pytorch Jobs in Virginia (NOW HIRING)

... such as TensorFlow, PyTorch, or Scikit-learn Experience analyzing and working with large-scale datasets Strong understanding of statistical modeling, probability, and data analysis techniques ...

Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Deep experience with AWS services, especially Bedrock, S3, EC2, and Lambda * Familiarity with MLOps ...

... such as TensorFlow, PyTorch, or Scikit-learn Experience analyzing and working with large-scale datasets Strong understanding of statistical modeling, probability, and data analysis techniques ...

Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Deep experience with AWS services, especially Bedrock, S3, EC2, and Lambda * Familiarity with MLOps ...

Proficiency with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. * Experience with data preprocessing, data mining, and data visualization techniques.

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. * Solid understanding of machine learning algorithms, including supervised and unsupervised ...

... such as TensorFlow, PyTorch, or Scikit-learn Experience analyzing and working with large-scale datasets Strong understanding of statistical modeling, probability, and data analysis techniques ...

Demonstrated experience using AI frameworks like TensorFlow, PyTorch, Keras, or JAX. * Ability to implement and modify complex neural network architectures. * Skilled in using data manipulation and ...

Demonstrated experience using AI frameworks like TensorFlow, PyTorch, Keras, or JAX. * Ability to implement and modify complex neural network architectures. * Skilled in using data manipulation and ...

Demonstrated experience using AI frameworks like TensorFlow, PyTorch, Keras, or JAX. * Ability to implement and modify complex neural network architectures. * Skilled in using data manipulation and ...

Demonstrated experience using AI frameworks like TensorFlow, PyTorch, Keras, or JAX. * Ability to implement and modify complex neural network architectures. * Skilled in using data manipulation and ...

Senior AI Systems Engineer

Chantilly, VA · On-site

$108K - $147.80K/yr

... e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R). • Experience with data modeling, data pipeline creation, and deployment of ML models in production environments. • ...

AI Engineer

VA · On-site

$106.90K - $128.40K/yr

Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn * Strong background in programming languages like Python, Java, or C++ * Experience with big data tools ...

Data Architect (Mid-Level)

Vienna, VA

$64 - $82.25/hr

Familiarity with ML libraries (TensorFlow, PyTorch, Scikit-learn) is a plus A salary commensurate with experience will be offered. SteerBridge Strategies is proud to be an Equal Opportunity Employer.

next page

Showing results 1-20

Tensorflow Pytorch information

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

Data Scientist

KDA Consulting Inc

Herndon, VA • On-site

Full-time

Posted 24 days ago


Job description

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on leveraging advanced analytics, machine learning, and artificial intelligence to extract insights from large, complex datasets and support data-driven decision-making.

The ideal candidate will have a strong foundation in statistical analysis, machine learning model development, and data visualization, along with the ability to translate complex findings into actionable insights for both technical and non-technical stakeholders.

Machine Learning & AI Development

  • Design, develop, and deploy machine learning models to solve complex mission problems
  • Build predictive and prescriptive analytics solutions to support operational and strategic decision-making
  • Evaluate model performance and continuously improve algorithms through testing and tuning

Data Analysis & Exploration

  • Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies
  • Perform data cleansing, feature engineering, and transformation to prepare data for modeling
  • Apply statistical techniques to validate hypotheses and support analytical findings

Data Visualization & Communication

  • Develop dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Python visualization libraries
  • Communicate insights and recommendations clearly to both technical teams and senior leadership
  • Translate complex analytical results into actionable business or mission outcomes

Model Deployment & Integration

  • Collaborate with data engineers and software developers to operationalize models into production environments
  • Integrate machine learning solutions into enterprise systems and workflows
  • Support cloud-based model deployment in environments such as AWS or Azure

Collaboration & Agile Delivery

  • Work closely with cross-functional teams including engineers, analysts, and mission stakeholders
  • Participate in Agile processes including sprint planning, stand-ups, and retrospectives
  • Contribute to continuous improvement of data science methodologies and processes

Requirements

Active TS/SCI W/ Polygraph Required.

Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience)

Strong experience in data science, machine learning, and statistical analysis

Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn

Experience analyzing and working with large-scale datasets

Strong understanding of statistical modeling, probability, and data analysis techniques

Experience with data visualization tools and communicating insights effectively

Strong problem-solving skills and ability to work in complex, mission-driven environments