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Tensorflow Pytorch Jobs in Virginia (NOW HIRING)

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). * Proficient with Databricks, MLflow, and PySpark. * Solid understanding of model ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Experience with machine learning algorithms and libraries (Scikit-learn, TensorFlow, PyTorch). * Experience with data visualization tools (Tableau, Power BI). * Excellent communication and ...

Spatial Front, Inc

Data Scientist

Arlington, VA · On-site

... learn, TensorFlow, PyTorch, or R. • Experience with cloud-based ML platforms. Company : SFI effectively delivers the right Information Technology solutions and Business Support services using ...

Spatial Front, Inc

Data Scientist

Arlington, VA · On-site

... learn, TensorFlow, PyTorch, or R. • Experience with cloud-based ML platforms Company : SFI effectively delivers the right Information Technology solutions and Business Support services using ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Experience with machine learning algorithms and libraries (Scikit-learn, TensorFlow, PyTorch).Experience with data visualization tools (Tableau, Power BI).Excellent communication and presentation ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Experience with machine learning algorithms and libraries (Scikit-learn, TensorFlow, PyTorch). * Experience with data visualization tools (Tableau, Power BI). * Excellent communication and ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Experience with machine learning algorithms and libraries (Scikit-learn, TensorFlow, PyTorch). * Experience with data visualization tools (Tableau, Power BI). * Excellent communication and ...

KDA CONSULTING INC

Data Scientist

Mclean, VA · On-site

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

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 ...

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 ...

KDA Consulting Inc

Data Scientist

Mclean, 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 ...

KDA Consulting Inc

Data Scientist

Herndon, 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 ...

KDA CONSULTING INC

Data Scientist

Herndon, VA · On-site

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

Luck Stone

AI Engineer

Manakin Sabot, VA · On-site

$152K/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 ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Virginia

Tensorflow Pytorch information

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 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

Machine Learning Engineer - Remote

Halvik

Vienna, VA • On-site, Remote

$140K - $150K/yr

Full-time

Re-posted 20 days ago

Job description

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of something special!
Role and Responsibilities
Model Development
  • Collaborate with data scientists and SMEs to develop ML models using curated datasets.
  • Conduct experiments, prototypes, and proof-of-concepts to validate model performance.
  • Create scalable and reusable training pipelines using Databricks notebooks and MLflow.

Implementation and Optimisation
  • LLMs (Large Language Models), RAGs, and AI agent systems for various business applications. Deployment & MLOps
  • Operationalize models with robust CI/CD workflows.
  • Deploy models usingMLflow, SageMaker, or custom APIs.
  • Monitor production models for accuracy, drift, and latency; manage retraining schedules.

Data Integration & Architecture Alignment
  • Work closely with Data Engineering to align ML pipelines with the Bronze, Silver, Gold layers of a Medallion Architecture.
  • Engineer high-quality features and maintain training/inference pipelines.

Cloud and Platform Engineering
  • Leverage AWS services including S3, EC2, Lambda, SageMaker, and Step Functions.

Collaboration & Documentation
  • Document ML artifacts, processes, and performance outcomes.
  • Contribute to agile project ceremonies and maintain a feedback loop with stakeholders.
  • Share knowledge and mentor junior team members.

Required Skills:
  • 5+ years of experience in ML Engineering or Applied Machine Learning.
  • Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
  • Proficient with Databricks, MLflow, and PySpark.
  • Solid understanding of model lifecycle and MLOps practices.
  • Experience with AWS-based data infrastructure and related DevOps practices.
  • Demonstrated ability to productionize models and integrate with business system
  • Strong understanding of mathematics and statistics relevant to machine learning and AI.
  • Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.).
  • Solid background in software engineering principles and best practices.
  • Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  • Experience with MLOps tools and workflows, particularly on AWS (SageMaker, Lambda, S3, etc.).
  • Practical experience with LLMs, RAGs, and AI agent architectures.
  • Proficiency with the Databricks platform for data engineering and ML pipelines.
  • Advanced programming skills in Python.
  • Excellent communication and teamwork abilities.

Preferred Skills:
  • Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks for rapid prototyping and real-time model interactions
  • Business acumen and ability to align AI solutions with organizational goals.
  • Optimize compute and storage resources for performance and cost-efficiency.

Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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