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Tensorflow Pytorch Jobs in Washington (NOW HIRING)

Hirekeyz Inc

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118.20K - $162.30K/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 ...

Redolent, Inc.

Sr, ML Architect

Washington, DC · On-site

Extensive experience with TensorFlow, PyTorch, and scikit-learn. * Cloud Platforms: Working knowledge of Google Cloud and Azure. * Design Tools: Proficiency in Figma, Adobe XD, or Sketch. * Databases:

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

The development of frameworks for creating and integrating machine learning models such as TensorFlow, Pytorch, Jupyter Notebook and or Apache Hadoop * The development and use of Visualizatin Tools ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site

$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 ...

BAE Systems

Technical Intern 3

Mclean, VA · On-site

$49.59K - $68.99K/yr

Design, develop, and deploy AI/ML models using popular libraries and frameworks (e.g., TensorFlow, Pytorch, Scikit-learn, Keras). * Conduct feature engineering and feature selection to optimize model ...

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 ...

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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.

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

Sr. Machine Learning Engineer

Hirekeyz Inc

Fort Belvoir, VA • On-site

$118.20K - $162.30K/yr

Contractor

Posted 12 days ago

Job description

Role: Sr. Machine Learning Engineer

Location: Ft. Belvoir, VA (On-site with Hybrid Option)

Duration: Long Term Contract

Clearance: DOD Top Secret Clearance (Must)

Job Description:

As a consultant, will be working to assist a DoD U.S. Army Command to create cybersecurity solutions working with cloud-based architecture (AWS Services).  You will work directly the stakeholders to understand requirements and work with Army’s Security teams to ensure the technologies available to the Government can be turned into solutions that they can use. Liaise with government software vendors and other asset creators; lead coordination of point solutions into broader capabilities for Army Defense Cyber Operations (DCO).  You will be helping our military defend our cyber security infrastructure by delivering software capabilities. 

Required Skills:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
  • Master’s Degree in Data Science, Machine Learning, or a related field
  • Proven experience in a machine learning or AI engineering role
  • Strong proficiency in Python, C++, or Java
  • 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 data preprocessing, feature engineering, and model selection
  • Knowledge of data structures, algorithms, and software architecture
  • Excellent problem-solving abilities and attention to detail
  • Strong communication skills, with the ability to present complex technical concepts to non-technical stakeholders
  • Commitment to writing clean, efficient, and well-tested code
  • Self-motivated, with the ability to work effectively both independently and in a team environment

Preferred Skills:

  • Certifications in Machine Learning / Artificial Intelligence / Data Science
  • Familiarity with agile development methodologies
  • 3-5 years of experience in a ML/AI development role