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Pytorch Huggingface Jobs in Laurel, MD (NOW HIRING)

Bridge Core (BCore)

Data Scientist

Mclean, VA · On-site

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras * Demonstrated professional or academic experience with the HuggingFace ...

Compunnel

AI QE Architect

Bethesda, MD · On-site

... LangChain, HuggingFace, Transformers, and OpenAI/Ollama APIs. • Experience with agentic AI ... PyTorch, TensorFlow, Scikit-Learn, and NLP/CV libraries such as NLTK, BART, or OpenCV. • ...

BCC-NIH

Staff Scientist

Bethesda, MD

Proficiency in deep learning frameworks (PyTorch preferred; TensorFlow or HuggingFace acceptable) * Deep understanding of neural network architectures (CNNs, transformers, sequence models) * Strong ...

BCC-NIH

Staff Scientist

Bethesda, MD · On-site

Proficiency in deep learning frameworks (PyTorch preferred; TensorFlow or HuggingFace acceptable) * Deep understanding of neural network architectures (CNNs, transformers, sequence models) * Strong ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. * Demonstrated professional or academic experience with the HuggingFace ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. * Demonstrated professional or academic experience with the HuggingFace ...

GRVTY

Data Scientist

Mclean, VA

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras * Demonstrated professional or academic experience with the HuggingFace ...

J5 Consulting

Data Scientist

Mclean, VA · On-site

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras * Demonstrated professional or academic experience with the HuggingFace ...

Bridge Core (BCore)

Data Scientist

Mclean, VA

$190K - $225K/yr

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras * Demonstrated professional or academic experience with the HuggingFace ...

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Pytorch Huggingface information

What is a PyTorch Huggingface engineer?

PyTorch Hugging Face developers are professionals who specialize in building and deploying machine learning and natural language processing (NLP) models using PyTorch, an open-source deep learning framework, and the Hugging Face library, which provides a wide range of pre-trained models and tools for NLP tasks. These developers create, fine-tune, and implement models for tasks like text classification, question answering, and language generation. Their expertise includes working with model architectures such as BERT, GPT, and others, as well as integrating models into applications or research projects.

What are the key skills and qualifications needed to thrive as a PyTorch Huggingface engineer?

To thrive as a PyTorch Hugging Face Engineer, you need a strong background in deep learning, Python programming, and experience with machine learning frameworks, supported by a relevant degree such as computer science or engineering. Familiarity with PyTorch, Hugging Face Transformers library, version control systems like Git, and often cloud platforms (e.g., AWS, GCP) is essential, with certifications in machine learning or cloud technologies being advantageous. Strong problem-solving skills, collaboration, and clear communication help you effectively design, implement, and optimize NLP models in cross-functional teams. These skills ensure you can build state-of-the-art AI solutions efficiently, troubleshoot complex challenges, and deliver impactful results in the fast-evolving field of natural language processing.

How do PyTorch Huggingface engineers typically collaborate with data scientists and researchers in a project setting?

PyTorch Huggingface engineers often work closely with data scientists and researchers to implement, fine-tune, and deploy state-of-the-art machine learning models. Collaboration involves regular discussions to understand project objectives, translating research ideas into efficient code, and iterating on model performance. Engineers are responsible for optimizing model pipelines, integrating new features, and ensuring compatibility with the Huggingface ecosystem. Effective communication and teamwork are essential, as projects usually require frequent feedback loops and joint problem-solving sessions.

What is the difference between Pytorch Huggingface vs Machine Learning Engineer?

AspectPytorch HuggingfaceMachine Learning Engineer
CredentialsProficiency in Python, deep learning frameworks, familiarity with NLP librariesDegree in CS, data science, or related field; experience with ML models
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLP and deep learningTech companies, consulting firms, R&D departments across industries
UsageDeveloping NLP models, fine-tuning transformers, deploying AI solutionsDesigning, building, and deploying ML models across various domains

While Pytorch Huggingface specializes in NLP model development using transformer architectures, Machine Learning Engineers work across diverse ML applications. Pytorch Huggingface skills are often part of a Machine Learning Engineer's toolkit, but the roles differ in scope and focus.

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Pytorch Huggingface jobs near you

Data Scientist

Bridge Core (BCore)

Mclean, VA • On-site

Full-time

Re-posted 5 days ago

Job description

Data Scientist
McLean, VA
TS/SCI with Poly
 

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 

Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business?  Do you have a desire to change how people work?  Are you interested in helping to protect our nation’s cyber interests? Join our growing team supporting customer missions as a  Data Scientist in McLean, Virginia.


  • Conduct sophisticated analysis using deployed tools and natural language processing. 
  • Analyze large amounts of raw data, including text data, to provide business insights. 
  • Clean structured and unstructured Sponsor data, including text data. 
  • Design and implement advanced ETL code and table configurations for complex data sets.  
  • Use Structured Query Language (SQL) in Sponsor’s Oracle database to develop and organize relevant information with supporting analytics. 
  • Independently, or with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the Sponsor’s templates. 
  • Implement the Sponsor’s existing coordination process.  
  • Provide technical education to staff on an ad-hoc basis. 
  • Provide subject matter expertise in NLP to support Sponsor’s initiatives  

Required Qualifications:   

  • Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance. 
  • Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents. 
  • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras  
  • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. 
  • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models. 
  • Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.   
  • Demonstrated academic or professional experience communicating methodological choices and model results.   
  • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries. 
  • Demonstrated professional or academic experience with version control systems such as Github and Jenkins. 
  • Demonstrated experience leveraging GPUs for accelerated computing  

Desired Qualifications

  • Demonstrated experience writing Python scripts that pull data from web-based APIs and relational databases. 
  • Demonstrated experience with cloud computing development and architecture  
  • Demonstrated experience with front-end web development frameworks such as Flask. 

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