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Pytorch Huggingface Jobs in Virginia (NOW HIRING)

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 · On-site

$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 ...

Armison Tech

Data Scientist

Mclean, VA · On-site

Demonstrated experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. * Experience with HuggingFace Transformers libraries and hub. * Experience with creating machine learning ...

Kepora

Data Scientist

Mclean, VA

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras 4.Demonstrated professional or academic experience with the HuggingFace ...

Bridge Core (BCore)

Data Scientist

Mclean, VA · On-site

$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 ...

B/Core

Data Scientist with Security Clearance

Fairfax, VA · On-site

$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 ...

SAIC

Data Scientist

Mclean, VA · On-site

$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 · 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 ...

Ardent Principles, Inc

Data Scientist

Mclean, VA · On-site

Professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. * Professional or academic experience with the HuggingFace Transformers library and hub.

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 ...

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Pytorch Huggingface information

What are the key skills and qualifications needed to thrive as a PyTorch Hugging Face Engineer, and why are they important?

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.

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.

What are Pytorch Huggingface developers?

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.

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 are popular job titles related to Pytorch Huggingface jobs in Virginia? For Pytorch Huggingface jobs in Virginia, the most frequently searched job titles are:
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Pytorch Huggingface jobs near you

TTG-321 - Data Scientist - $267,800 Total Compensation with Security Clearance

TTG Solutions Inc.

Mclean, VA • On-site

$267K/yr

Other

Retirement, PTO

Posted yesterday

New

Job description

Summary TTG Solutions is seeking a skilled Data Scientist with expertise in Natural Language Processing (NLP) to join our team. The ideal candidate will be proficient in building and deploying machine learning models to solve complex text analysis problems.Description The successful candidate will be responsible for creating machine learning models for text classification and topic modeling. They will leverage deep learning frameworks and Python NLP packages to conduct advanced statistical analysis. A key part of the role includes utilizing GPUs for accelerated computing and performing data retrieval using SQL.Experience LevelExpert Generally requires eleven (11) years of experience specific to the skill and relevant training or certifications Requirements: 11 yrs - 15 yrs 11 mos
Required Skills
* Proficiency in Python NLP packages such as Spacy, Gensim, or NLTK
* Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras
* Experience with the HuggingFace Transformers library and hub
* Ability to create machine learning models for text classification and topic modeling
* Advanced statistical analysis on various metrics
* Proficiency in SQL
* Experience leveraging GPUs for accelerated computingClearance This position requires an active TS/SCI clearance with Polygraph..comp-table { border-collapse: collapse; width: 100%; margin-bottom: 20px; } .comp-table th, .comp-table td { border: 1px solid black; padding: 8px; text-align: left; } .comp-table th { background-color: #f2f2f2; font-weight: bold; } .comp-table tr:nth-child(even) { background-color: #f9f9f9; }BenefitsBenefitDetails
Base Salary $161,000 - $194,000 PTO 30 days annual PTO, which includes holidays. Retirement 15% company retirement contribution. No match required. Vesting period is 50% per year over 2 years. Paid Benefits Company pays all insurance expenses up to 8% of base pay. If your insurance expenses are less that that, we bonus the difference to you. Annual Bonuses 3% to 5% annual bonuses. Cell Phone Stipend $100 monthly phone expense reimbursement. Training Budget 3 paid training days + $2,500 training budget New Hire Bonus $5,000 new hire bonus Total Compensation Total compensation is the total combination of salary, benefits, retirement, bonuses, etc... and it is calculated using the following formula: Total Compensation = Base Salary + Benefits Budget + Retirement + Bonus + Training Budget + Phone StipendAlthough each company has their own blend of salary and benefits, comparing total compensation is typcially the best way to compare the financial impact of each position. At TTG Solutions, we work hard to ensure our particular blend always meets or exceeds the market average.Total Compensation = $267,800.total-comp-table{border-collapse:collapse;width:100%;margin-bottom:20px;font-family:sans-serif;font-size:14px}.total-comp-table th,.total-comp-table td{border:1px solid #ccc;padding:12px 16px;text-align:left}.total-comp-table thead{background-color:#f9f9f9;font-weight:bold}.total-comp-table td:nth-child(2),.total-comp-table th:nth-child(2){text-align:right}.total-comp-table tr:nth-child(even){background-color:#f6f6f6}BenefitValueDetails
Base Salary $194,000 Base salary for position. Retirement $29,100 15% company retirement contribution. No match required. Vesting period is 50% per year over 2 years. Benefits Budget $38,800 20% company paid Individual Benefits Account (12% for 30-days PTO, 8% for Insurances). If your insurance or PTO expenses are less than this, we bonus the difference to you. Annual Bonus $9,700 Annual bonus, 3% to 5% on average. Training Budget $2,500 Annual training budget. Training Hours $2,200 3 paid days for training. Phone Stipend $1,200 $100 monthly cell phone stipend.

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