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Pytorch Huggingface Jobs in Virginia (NOW HIRING)

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

... as PyTorch, Tensorflow, or Keras • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. • Demonstrated experience creating machine learning models ...

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

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 ...

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 ...

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:
What job categories do people searching Pytorch Huggingface jobs in Virginia look for? The top searched job categories for Pytorch Huggingface jobs in Virginia are:
What cities in Virginia are hiring for Pytorch Huggingface jobs? Cities in Virginia with the most Pytorch Huggingface job openings:
Senior AI/ML Architect - GenAI & Python

Senior AI/ML Architect - GenAI & Python

Apex Systems

Richmond, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 22 days ago


Job description

Job#: 3035807
Job Description:
Senior AI/ML Architect - GenAI & Python
Location: Richmond, Virginia (On-site)
Employment Type: 12 Months Contract
Role Overview
We are seeking a Senior Architect or Senior Developer with strong knowledge in building Generative AI solutions. This role requires expertise in Python and hands-on experience with Gen AI projects. Knowledge of Machine Learning and Deep Learning is also beneficial for this position.
Key Responsibilities
  • Implement Gen AI projects using open-source LLMs (e.g., Llama, GPT OSS) and proprietary APIs (e.g., OpenAI, Anthropic).
  • Fine-tune Large Language Models for various tasks using custom datasets.
  • Develop prompts for models such as GPT-4, LLAMA2, and Gemini Pro.
  • Utilize Python, including Pandas and NumPy, for data analysis and feature engineering.
  • Implement Retrieval Augmented Generation (RAG) solutions.
  • Apply various machine learning models like SVM, Logistic Regression, Random Forest, and Neural Networks.
  • Work with NLP techniques including word embeddings, topic modeling, and search functionalities (FAISS, Elastic Search).
  • Build and integrate APIs (REST, FastAPI, Flask) for serving models.
  • Deploy machine learning models to platforms like Streamlit, HuggingFace Spaces, and Heroku.
  • Collaborate within an Agile methodology framework to deliver solutions.
Required Qualifications
  • Proven hands-on experience in implementing Gen AI projects.
  • Strong Python development and programming skills, with experience in libraries like PyTorch and HuggingFace.
  • Expertise in prompting Large Language Models and fine-tuning them.
  • Background in Retrieval Augmented Generation (RAG) implementations.
  • Experience with various machine learning models and NLP techniques.
  • Experience with the application of Deep Learning to various NLP tasks.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of Agentic AI frameworks and orchestration.
  • Excellent problem-solving, interpersonal, and communication skills.
  • Ability to function in a team environment and in an individual capacity.
Preferred Qualifications
  • Experience with SQL and other data tools.
  • Familiarity with the Horizon toolset.
  • Knowledge of change management processes.

This employer 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, or protected veteran status and will not be discriminated against on the basis of disability.
Apex uses a virtual recruiter as part of the application process. Click for more details.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at or .
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
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