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Pytorch Huggingface Jobs in Everett, WA (NOW HIRING)

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

... PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.). * 4-6 years of experience with ClassicAI/GenAI ML Model Operationalization in Production. * 4 to 6 years of strong ...

AZX

ML Engineer (Senior)

Seattle, WA · On-site

$140K - $220K/yr

Advanced ML/AI frameworks and techniques (e.g., PyTorch Lightning, JAX, HuggingFace, ONNX optimizations) * Lower-level or performance-focused languages for ML acceleration (e.g., C++, Rust, CUDA)

HackerOne

Software Engineer, Applied AI

Seattle, WA · On-site

$166K - $203K/yr

Experience integrating LLMs or generative AI models into applications Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers * Must be able and willing to ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Extensive hands-on experience of a broad stack of technologies -- Python, Huggingface, VectorDB, Tensorflow, Pytorch, ElasticSearch, Azure, etc. * Authored research publications in top peer-reviewed ...

Walmart

Distinguished, Data Scientist

Bellevue, WA · On-site

$156K - $312K/yr

Extensive hands-on experience of a broad stack of technologies - Python, Huggingface, VectorDB, Tensorflow, Pytorch, ElasticSearch, Azure, etc. * Authored research publications in top peer-reviewed ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Extensive hands-on experience of a broad stack of technologies - Python, Huggingface, VectorDB, Tensorflow, Pytorch, ElasticSearch, Azure, etc. * Authored research publications in top peer-reviewed ...

Walmart

Distinguished, Data Scientist

Bellevue, WA · On-site

$156K - $312K/yr

Extensive hands-on experience of a broad stack of technologies -- Python, Huggingface, VectorDB, Tensorflow, Pytorch, ElasticSearch, Azure, etc. * Authored research publications in top peer-reviewed ...

All JobsPytorch Huggingface JobsPytorch Huggingface Jobs in Everett, WA

Pytorch Huggingface information

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.

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 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.

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 cities near Everett, WA are hiring for Pytorch Huggingface jobs? Cities near Everett, WA with the most Pytorch Huggingface job openings:
Pytorch Huggingface jobs near you
Infographic showing various Pytorch Huggingface job openings in Everett, WA as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

MLOps Engineer

Zortech Solutions

Bellevue, WA • Remote

Contractor

Re-posted 6 days ago

Job description

Job Title  MLOps Engineer to work on AWS GovCloud Databricks
 
Projected Start Date05-09-2025
Projected End Date10-31-2025
Position Type Contract
Location : Bellevue, WA
Remote Work100%
Primary SkillsAWS Cloud Formation
 
Job Description:
  • MLOps Engineer to work on AWS GovCloud Databricks
  • Bachelor’s degree in computer science, Engineering, Applied Mathematics or related field
  • 4-6 years of strong experience with AWS Gov Cloud environments / Export Control / FedRAMP environments
  • Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data science.
  • 4-6 years of strong experience with the following machine learning topics: classification, clustering, optimization, deep learning, NLP with Python in a programming intensive role.
  • 6-8 years of strong experience in Python / PySpark coding
  • 4-6 years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.).
  • 4-6 years of experience with ClassicAI/GenAI ML Model Operationalization in Production.
  • 4 to 6 years of strong experience in Azure Databricks / AWS Databricks, specializing in End-to-End MLOps architecture, with practical expertise in Databricks Unity Catalog, MosaicAI, serverless solutions, MLOps stacks, and Lakehouse monitoring, among other areas.
  • 4-6 years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.
  • 4-6 years of experience with CI/CD Dev Ops process.
  • Effective communication skills and succinct articulation
  • Experience working with remote and global teams and cross team collaboration
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About ZorTech

Sourced by ZipRecruiter

The Zor Group is a globally operating conglomerate spanning multiple industries across four countries. Established in 2009 with a mission to make a positive impact, Zor initially began as a staffing organization and naturally evolved into the technology sector. In 2018, ZorTech was introduced through a strategic partnership with the Sunwill Group. Plans for international expansion were initiated in 2020, leading to successful entry into the US market. Alongside an impressive 70% year-over-year growth rate, we also established an offshore delivery team in the USA. With the incorporation of IT Services, ZorTech now offers end-to-end solutions, ranging from top-level talent sourcing to managing large-scale projects. Our organization currently operates in four countries, including Canada, the USA, the Dominican Republic, and India.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Houston , TX, US

Social media

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