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Hugging Face Jobs in Edison, NJ (NOW HIRING)

M2S Group

Artificial Intelligence Architect

New York, NY · On-site +1

$69.75 - $89.75/hr

PyTorch, TensorFlow, scikit-learn, and Hugging Face * MLOps: Docker, Kubernetes, CI/CD, MLflow, and model registries * Cloud & data: AWS, Azure, GCP, Spark, Airflow, and feature stores * LLM, GenAI ...

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY

LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...

Photon

Python + Gen AI Developer - New York

Manhattan, NY · On-site

$55 - $76/hr

LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...

Photon

Python + Gen AI Developer - New York

Manhattan, NY

$55 - $76/hr

LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...

Magnum Technologies, Inc.

AI Engineer

Jersey City, NJ · On-site

... Hugging Face, etc. o Expertise in developing robust prompt engineering strategies, prompt tuning, and creating reusable prompt templates. o Hands-on experience with agentic framework-based use case ...

New

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY · On-site

LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...

Forhyre

Prompt Engineers

New York, NY

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

Forhyre

Prompt Engineers

New York, NY

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

MDAEdge

Cloud Platform Engineer (ONLY W2)

Brooklyn, NY · On-site

$60.50 - $81/hr

SageMaker, Bedrock, OpenSearch (vector DBs). • Strong ML knowledge: algorithms, NLP, TensorFlow, PyTorch, Hugging Face. • Architecting data platforms and AI integrations. • Performance ...

Intac Solution

Network Tester

Berkeley Heights, NJ

$34 - $36/hr

Proficiency in AI/ML platforms and APIs (e.g., OpenAI, TensorFlow, PyTorch, Hugging Face, Azure AI Studio). * Travel required (30%). Requirements and Qualifications * Requires between 3-5 years ...

Ataraxis AI

General Application

New York, NY · On-site

$101K - $301K/yr

... Hugging Face, Perplexity). We are an company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate ...

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How much do hugging face jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for hugging face in Edison, NJ is $15.46, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $18.27 per hour, depending on experience, location, and employer.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

What job categories do people searching Hugging Face jobs in Edison, NJ look for?

The top searched job categories for Hugging Face jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Hugging Face jobs?

Cities near Edison, NJ with the most Hugging Face job openings:

Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 3% Temporary, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $32,148 per year, or $15.5 per hour.

Artificial Intelligence Architect

M2S Group

New York, NY • On-site, Remote

$69.75 - $89.75/hr

Full-time

Posted 28 days ago

Job description

About the Role
We're hiring an AI Architect to define the technical foundation for all our AI/ML systems including architecture standards, platform decisions, and quality gates that let us deliver scalable, secure, and governed AI solutions tied directly to business outcomes. You'll sit at the intersection of engineering, data, and business strategy, designing the systems and setting the standards that accelerate AI adoption across the enterprise.
What You'll Do
  • Design the enterprise AI/ML architecture, including reference patterns and multi-entity / multi-tenant architectures with governed data boundaries
  • Evaluate and select AI platforms, frameworks, and cloud services
  • Establish technical standards for model development, testing, and deployment
  • Design agentic search and retrieval systems for enterprise knowledge grounding
  • Review and approve architecture for all AI use cases before they reach production
  • Define data architecture requirements for ML pipelines
  • Lead build vs. buy evaluations for AI tooling
  • Mentor technical team members and drive engineering excellence
  • Stay current on AI/ML technology trends and assess their relevance to our roadmap

Qualifications
  • 8+ years in software or data architecture, with 4+ years focused on ML systems
  • Deep expertise in cloud platforms (AWS, Azure, or GCP) and their ML services
  • Proven experience designing production ML pipelines at enterprise scale
  • Strong understanding of MLOps, model monitoring, and deployment patterns
  • Experience with both traditional ML and modern LLM/GenAI architectures
  • Familiarity with core enterprise infrastructure architecture

Skills
  • Languages: Python, SQL, and Scala for ML and data engineering
  • ML frameworks: PyTorch, TensorFlow, scikit-learn, and Hugging Face
  • MLOps: Docker, Kubernetes, CI/CD, MLflow, and model registries
  • Cloud & data: AWS, Azure, GCP, Spark, Airflow, and feature stores
  • LLM, GenAI & agentic search: RAG, fine-tuning, prompt engineering, vector databases, query planning, tool use, retrieval orchestration, and multi-step reasoning
  • Responsible AI: governance, model monitoring, and security by design
  • Solution mindset: design thinking, trade-off analysis, and pragmatic delivery

*LI-MD1
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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