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Tensorflow Developer Jobs in Virginia (NOW HIRING)

AI Engineer

Manakin Sabot, VA

$106K - $128K/yr

TensorFlow Developer Certificate * AWS Certified Machine Learning - Specialty Behavioral Competencies: * Ability to analyze complex technical issues and create effective solutions * Ability to work ...

AI Engineer

VA · On-site

$106K - $128K/yr

TensorFlow Developer Certificate * AWS Certified Machine Learning - Specialty Behavioral Competencies: * Ability to analyze complex technical issues and create effective solutions * Ability to work ...

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

AWS Certifed Machine Learning - Specialty AWS Certifed Solutions Architect General AI/ML Certifcations (TensorFlow Developer, Azure AI Engineer UiPath AI Center Experience (nice to have) Eucation ...

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

AWS Certifed Machine Learning - Specialty AWS Certifed Solutions Architect General AI/ML Certifcations (TensorFlow Developer, Azure AI Engineer UiPath AI Center Experience (nice to have) Eucation ...

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

AWS Certifed Machine Learning - Specialty AWS Certifed Solutions Architect General AI/ML Certifcations (TensorFlow Developer, Azure AI Engineer UiPath AI Center Experience (nice to have) Eucation ...

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

AWS Certifed Machine Learning - Specialty AWS Certifed Solutions Architect General AI/ML Certifcations (TensorFlow Developer, Azure AI Engineer UiPath AI Center Experience (nice to have) Eucation ...

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

AWS Certifed Machine Learning - Specialty AWS Certifed Solutions Architect General AI/ML Certifcations (TensorFlow Developer, Azure AI Engineer UiPath AI Center Experience (nice to have) Eucation ...

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Tensorflow Developer information

See Virginia salary details

$18

$44

$100

How much do tensorflow developer jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for tensorflow developer in Virginia is $44.90, according to ZipRecruiter salary data. Most workers in this role earn between $23.37 and $54.33 per hour, depending on experience, location, and employer.

What are the typical daily tasks and responsibilities of a Tensorflow Developer?

As a Tensorflow Developer, your daily tasks often include designing, coding, and refining machine learning models using Tensorflow, as well as preprocessing data and evaluating model performance. You may also be responsible for integrating models into production systems, troubleshooting issues, and collaborating closely with data scientists, engineers, and product teams. Staying updated with the latest developments in the machine learning ecosystem and optimizing solutions for scalability and efficiency are also common aspects of this role. By working on diverse projects, you'll have opportunities to deepen your understanding and broaden your expertise in different application areas.

What is a TensorFlow Developer job?

A TensorFlow Developer is responsible for designing, building, and deploying machine learning models using TensorFlow, an open-source deep learning framework. They work with neural networks, data preprocessing, and optimization techniques to improve model performance. Their role often includes collaborating with data scientists and engineers to integrate models into applications, ensuring scalability and efficiency. TensorFlow Developers typically have expertise in Python, TensorFlow libraries, and deep learning concepts.

What are the key skills and qualifications needed to thrive in the Tensorflow Developer position, and why are they important?

To thrive as a Tensorflow Developer, you need a solid understanding of machine learning and deep learning principles, strong Python programming skills, and practical experience with the Tensorflow framework. Familiarity with tools such as Tensorboard, Keras, and cloud-based ML platforms, as well as relevant certifications like TensorFlow Developer Certificate, is highly valued. Problem-solving ability, attention to detail, and effective teamwork and communication skills help set top candidates apart. These competencies enable developers to design, implement, and optimize machine learning models that address complex business challenges in a collaborative environment.

What are the most commonly searched types of Tensorflow Developer jobs in Virginia? The most popular types of Tensorflow Developer jobs in Virginia are:
Infographic showing various Tensorflow Developer job openings in Virginia as of June 2026, with employment types broken down into 85% Full Time, 4% Part Time, and 11% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $93,392 per year, or $44.9 per hour.
AI Engineer

$106K - $128K/yr

Full-time

Posted 8 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