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Tensorflow Pytorch Jobs in Dumfries, VA (NOW HIRING)

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras * Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying ML solutions * Experience with ...

Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data visualization tools (e.g., Power BI, Tableau) and ETL processes; * Proven experience integrating clinical ...

Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data visualization tools (e.g., Power BI, Tableau) and ETL processes; * Proven experience integrating clinical ...

Experienced in using deep learning frameworks such as TensorFlow, Pytorch, etc. * Ability to effectively communicate technical solutions to engineering teams and business audiences Key Competencies:

Experienced in using deep learning frameworks such as TensorFlow, Pytorch, etc. * Ability to effectively communicate technical solutions to engineering teams and business audiences Key Competencies:

Experienced in Data Exploration packages with Base R Experienced in using deep learning frameworks such as TensorFlow, Pytorch, etc. Ability to effectively communicate technical solutions to ...

Data Scientist, Mid

Springfield, VA · On-site

$77.60 - $176/hr

Build and evaluate AI / ML models using libraries such as TensorFlow, PyTorch, and Scikit‑learn. * Contribute to data engineering workflows, including ingestion, transformation, QC, and storage of ...

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Tensorflow Pytorch information

See Dumfries, VA salary details

$37K

$121.1K

$193.9K

How much do tensorflow pytorch jobs pay per year?

As of Aug 30, 2026, the average yearly pay for tensorflow pytorch in Dumfries, VA is $121,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 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 job categories do people searching Tensorflow Pytorch jobs in Dumfries, VA look for?

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

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

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

AI Developer - Model Creation & Full Stack

Electronic Consulting Services, Inc (ECS Federal)

Fairfax, VA • On-site

$130K - $145K/yr

Other

Re-posted 3 days ago


Job description

Job Description
Everforth ECS is seeking an AI Developer to work remotely .
Everforth ECS is seeking a highly skilledAI Developerwith expertise inmachine learning model creationandfull-stack application development. The ideal candidate will be excited to join an organization that is heavily investing in AI. This role requires the need to build high performance Python-based AI/ML solutions capable of processing extremely large data sets and integrating them into scalable web applications, including LLMs. This role also requires strong problem-solving skills, a deep understanding of AI frameworks, and the ability to work across the entire technology stack.
Key Responsibilities:
  • AI/ML Model Development
  • Design, build, fine tune and train machine learning and deep learning models using Python.
  • Perform data preprocessing, feature engineering, and model optimization.
  • Evaluate models using domain appropriate metrics and improve performance iteratively.
  • Deploy custom models to production environments (cloud/on-premises) using MLOps best practices.
  • Full-Stack Development
  • Develop high throughput, event-driven microservices (RESTful APIs, GraphQL) for application backends and MCP servers to serve AI models.
  • Build responsive and user-friendly front-end interfaces for AI-powered applications.
  • Integrate AI models into web and mobile applications.
  • Ensure scalability, security, and performance of deployed solutions.
  • Collaboration & Documentation
  • Work closely with data scientists, developers, frontend developers, and product managers.
  • Document model architectures, APIs, and deployment processes.
  • Participate in code reviews and maintain high coding standards.
Salary Range: $130,000 - $145,000
General Description of Benefits
Required Skills
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
  • Candidates must be able to obtain a USPS Public Trust Clearance. This requires ship or Permanent Resident Status (), and the ability to pass a stringent background check.
  • 3+ years of experience in AI/ML development and full-stack application building.
  • Programming:Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers).
  • Full Stack:Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React, Angular, or Vue.js).
  • Databases:Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis), Oracle 19c, Azure Databricks
  • Experience with databricks
  • DevOps & Deployment:Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, Google Cloud Platform).
  • General knowledge of Geospatial technology
  • Version Control:Proficiency with GitHub workflows.
  • Mathematics & AI Concepts:Strong understanding of statistics, linear algebra, and machine learning algorithms.
  • Knowledge ofdata visualizationtools (Matplotlib, Plotly, D3.js).
  • Familiarity withmicroservices architecture.
  • Prior experience inAI product developmentfrom concept to deployment.

Desired Skills
  • Languages:Python, JavaScript/TypeScript
  • AI/ML:TensorFlow, PyTorch, scikit-learn
  • Backend:FastAPI, Flask, Django, ESRI ArcGIS tool, Geopandas/Paneas, Shapely. Asynchronous programming (aiohttp, asyncio)
  • Frontend:React.js, Next.js
  • Cloud:AWS Bedrock, Google Cloud Platform AI Platform, Azure ML
  • Tools:Docker, Kubernetes, GitHub Actions
#EverforthECS1
ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.
Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees . Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.
Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.
We value:
  • Attracting and developing top talent and high-performing teams
  • Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!