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Huggingface Jobs (NOW HIRING)

... 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 ...

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Huggingface information

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How much do huggingface jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for huggingface in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Huggingface position, and why are they important?

To thrive in a role at Hugging Face, you typically need strong skills in machine learning, natural language processing (NLP), and software development, supported by a relevant degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, plus experience using version control systems such as Git, are often required; open-source contributions and cloud platform knowledge are a plus. Excellent communication, collaborative teamwork, and problem-solving abilities help candidates stand out in this dynamic, innovation-driven environment. These strengths are crucial because they enable individuals to develop high-impact AI tools, work effectively in interdisciplinary teams, and contribute to open-source communities.

What does a typical day look like for an engineer working at Hugging Face?

As an engineer at Hugging Face, your day typically involves collaborating with team members to design, develop, and improve state-of-the-art machine learning models and tools, with a strong focus on open-source NLP projects. You’ll participate in code reviews, experiment with new technologies, engage with the community through forums or GitHub, and help support user questions or issues. Expect a fast-paced, collaborative environment where cross-functional teamwork with product managers, researchers, and other engineers is common. The work is project-driven, with plenty of opportunities to contribute ideas, learn from experts, and advance your technical skills.

What is a Huggingface job?

A Hugging Face job typically refers to a role at Hugging Face, a company specializing in machine learning and natural language processing (NLP). Employees at Hugging Face work on developing and maintaining open-source AI tools, including the popular Transformers library. Roles range from research and engineering to product and community development, often focusing on advancing state-of-the-art AI models.

What cities are hiring for Huggingface jobs? Cities with the most Huggingface job openings:
What are the most commonly searched types of Huggingface jobs? The most popular types of Huggingface jobs are:
What states have the most Huggingface jobs? States with the most job openings for Huggingface jobs include:
Infographic showing various Huggingface job openings in the United States as of June 2026, with employment types broken down into 25% Full Time, 25% Part Time, and 50% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Specialist - Data Sciences

Futran Tech Solutions Pvt. Ltd.

Charlotte, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

AWS Databricks MLOps Requirement
Job Title MLOps Engineer to work on AWS GovCloud Databricks
Bachelors degree in computer science Engineering Applied Mathematics or related field
4 to 6 years of strong experience with AWS Gov Cloud environments Export Control FedRAMP environments
Overall 810 years of solid experience in the areas of data engineering machine learning data science
46 years of strong experience with the following machine learning topics classification clustering optimization deep learning NLP with Python in a programming intensive role
68 years of strong experience in Python PySpark coding
46 years of industry experience with popular ML frameworks such as Keras Tensorflow PyTorch HuggingFace Transformers and libraries like scikitlearn etc
46 years of experience with ClassicAIGenAI ML Model Operationalization in Production
4 to 6 years of strong experience in Azure Databricks AWS Databricks specializing in EndtoEnd MLOps architecture with practical expertise in Databricks Unity Catalog MosaicAI serverless solutions MLOps stacks and Lakehouse monitoring among other areas
46 years of industry experience with distributed computing frameworks such as Spark Kubernetes ecosystem etc 46 years of experience with CICD Dev Ops process
Effective communication skills and succinct articulation
Experience working with remote and global teams and cross team collaboration