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Pytorch Huggingface Jobs (NOW HIRING)

Senior AI/ML Engineer GenAI & Agentic AI

Dallas, TX · On-site

$103K - $142K/yr

PyTorch, Keras, Scikit-learn, HuggingFace, LangChain/LangSmith, Databricks, Agentic AI Data Engineering: Pandas, NumPy, PySpark, Hadoop, MySQL, Elasticsearch, Neo4j Cloud Platforms: AWS (EKS, S3 ...

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Software Engineer

Costa Mesa, CA · On-site

$113 - $152/hr

ML: PyTorch, HuggingFace, ONNX Runtime, LangChain * Infrastructure: AWS, Kubernetes, Redis, Postgres, S3, Terraform * DevOps & Observability: GitHub Actions, Datadog, Grafana, Prometheus We do not ...

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Software Engineer

Costa Mesa, CA · On-site

$112K - $151K/yr

ML: PyTorch, HuggingFace, ONNX Runtime, LangChain * Infrastructure: AWS, Kubernetes, Redis, Postgres, S3, Terraform * DevOps & Observability: GitHub Actions, Datadog, Grafana, Prometheus We do not ...

Senior Software Engineer

Costa Mesa, CA · On-site

$137K - $236K/yr

ML: PyTorch, HuggingFace, ONNX Runtime, LangChain * Infrastructure: AWS, Kubernetes, Redis, Postgres, S3, Terraform * DevOps & Observability: GitHub Actions, Datadog, Grafana, Prometheus We do not ...

Prototype Engineer

$36.50 - $41/hr

Familiarity with LLM APIs (OpenAI, Anthropic, or open-source), vector databases, RAG architectures, Python ML ecosystem (PyTorch, HuggingFace), modern frontend frameworks (React/Next.js), CI/CD and ...

ML: PyTorch, HuggingFace, ONNX Runtime, LangChain * Infrastructure: AWS, Kubernetes, Redis, Postgres, S3, Terraform * DevOps & Observability: GitHub Actions, Datadog, Grafana, Prometheus We do not ...

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Showing results 41-60

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.

More about Pytorch Huggingface jobs

What cities are hiring for Pytorch Huggingface jobs?

Cities with the most Pytorch Huggingface job openings:

What states have the most Pytorch Huggingface jobs?

States with the most job openings for Pytorch Huggingface jobs include:

Infographic showing various Pytorch Huggingface job openings in the United States as of August 2026, with employment types broken down into 3% Internship, 91% Full Time, 3% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.

Senior AI/ML Engineer GenAI & Agentic AI

ClifyX

Dallas, TX • On-site

$103K - $142K/yr

Other

Posted 3 days ago

New


Job description

Job Title: Senior AI/ML Engineer – GenAI & Agentic AI

Work Location: Any Infosys Hub office (Hybrid)

Contract duration: Long term contract

Job Description

Skillset : 

Machine Learning & AI: PyTorch, Keras, Scikit-learn, HuggingFace, LangChain/LangSmith, Databricks, Agentic AI

Data Engineering: Pandas, NumPy, PySpark, Hadoop, MySQL, Elasticsearch, Neo4j

Cloud Platforms: AWS (EKS, S3, Redshift, Lambda), Azure (AKS, Blob Storage), Google Cloud Platform (GKE)

Coding agents: Codex, Windsurf, Cursor, Claude Code


ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998