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Tensorflow Pytorch Jobs in Virginia (NOW HIRING)

Luck Stone

AI Engineer

Manakin Sabot, VA

$106K - $128K/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 ...

Full Scope

Machine Learning Engineer

Reston, VA

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

KDA Consulting Inc

Data Scientist

Chantilly, VA · On-site

... 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 ...

BTree Solutions, Inc.

AI/ML ENGINEER

Reston, VA · On-site

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 ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

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 ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA

$125K - $160K/yr

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 ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA

$125K - $160K/yr

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 ...

SAIC

Senior AI Systems Engineer

Chantilly, VA · On-site

$108K - $147K/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. • ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

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 ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

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 ...

AgileEngine

Data Scientist ID71658

Blacksburg, VA · On-site

... TensorFlow , PyTorch ) and data visualization tools; - Prior commercial experience applying data science specifically to cybersecurity , vulnerability management , or financial risk models ; - Upper ...

AgileEngine

Data Scientist ID71658

Richmond, VA · On-site +1

... TensorFlow , PyTorch ) and data visualization tools; - Prior commercial experience applying data science specifically to cybersecurity , vulnerability management , or financial risk models ; - Upper ...

AgileEngine

Data Scientist ID71658

Richmond, VA · On-site

... TensorFlow , PyTorch ) and data visualization tools; - Prior commercial experience applying data science specifically to cybersecurity , vulnerability management , or financial risk models ; - Upper ...

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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.

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 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:
Tensorflow Pytorch jobs near you
AI Engineer

AI Engineer

Luck Stone

Manakin Sabot, VA

$106K - $128K/yr

Full-time

Posted 16 days ago

Job description

JOB SUMMARY: Leveraging a strong background in machine learning, artificial intelligence, and data science, the AI engineer will design, develop, and deploy AI solutions to address business challenges and optimize operations. Work closely with cross-functional teams to integrate AI models into products and services, helping to drive business transformation and innovation.

ESSENTIAL FUNCTIONS

60% of job: Development

  • Design, develop, and implement AI and machine learning models for a variety of business applications, including data analysis, predictive modeling, and automation.
  • Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and platforms.
  • Ensure the scalability and performance of AI models by optimizing algorithms and utilizing cloud infrastructure.
  • Document and communicate the results, performance, and limitations of AI models to non-technical stakeholders.
  • Stay up to date with the latest AI research papers, industry trends, and tools to drive continuous improvement of AI processes.

20% of job: Continuous Improvement

  • Conduct thorough research on the latest AI technologies, trends, and best practices to ensure the company stays at the forefront of AI advancements.
  • Implement and maintain machine learning pipelines, from data preprocessing to model deployment.
  • Troubleshoot and resolve issues related to AI models, ensuring they meet the desired accuracy and performance standards.

20% of job: Leadership and Relationships

  • Collaborate with business leaders and stakeholders to understand specific AI use cases and requirements, translating these into actionable solutions.
  • Provide technical guidance and support to junior team members, helping them grow their skills in AI technologies.

 

MINIMUM REQUIREMENTS

Education: Bachelor’s Degree in Computer Science, Engineering, Mathematics, or a related field

Preferred Education: Master’s Degree or Ph.D. in Artificial Intelligence, Machine Learning, Data Science, or a related advanced field

Work Experience: Minimum of 3 years of experience in AI/ML development or similar roles

Preferred Certifications:

  • Google Cloud Professional Data Engineer
  • Microsoft Certified Azure AI Engineer Associate
  • TensorFlow Developer Certificate
  • AWS Certified Machine Learning - Specialty

Behavioral Competencies:

  • Ability to analyze complex technical issues and create effective solutions
  • Ability to work cross-functionally with engineers, data scientists, and product teams
  • Strong verbal and written communication skills for conveying technical concepts to non-technical stakeholders
  • Open to new approaches and rapidly changing environments

Technical Competencies:

  • 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 and technologies (e.g., Hadoop, Spark)
  • Experience with automating AI model training, deployment pipelines, and optimization processes
  • Strong understanding of supervised and unsupervised learning techniques, deep learning, reinforcement learning, and NLP
  • Experience in data preprocessing, feature extraction, and transforming raw data into usable formats
  • Knowledge of cloud platforms (AWS, Azure, GCP) and experience in deploying AI models on cloud
  • Proficient in software development practices, version control (Git), and testing frameworks
  • Strong foundation in statistics, linear algebra, and probability, which are fundamental for AI algorithms

 

ENVIRONMENT OR PHYSICAL WORKING CONDITIONS

General office conditions apply. Light travel required.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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