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Hugging Face Jobs in Elizabeth, NJ (NOW HIRING)

Senior AI Security Engineer- REMOTE

New York, NY · On-site

$125K - $171K/yr

... Hugging Face) · Solid understanding of OWASP Top 10, MITRE ATT&CK, threat modeling, and SOC workflows · Deep AWS expertise, including IAM, Guard Duty, Security Hub, CloudTrail, VPC, KMS · ...

... LangChain, Hugging Face, Llama Index etc. Preferred : • Working experience with Gemini LLM • Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras • Hands-On ...

AI Engineer

Manhattan, NY · On-site

$133K - $166K/yr

Hugging Face, Ollama * AI Evaluation: LangSmith, MLflow, Braintrust, Langfuse, Arize Phoenix * Analytics: Power BI, Tableau * Machine Learning: PyTorch, TensorFlow, scikit-learn, XGBoost Job ...

AI Engineer

Manhattan, NY

$133K - $166K/yr

Hugging Face, Ollama * AI Evaluation: LangSmith, MLflow, Braintrust, Langfuse, Arize Phoenix * Analytics: Power BI, Tableau * Machine Learning: PyTorch, TensorFlow, scikit-learn, XGBoost Minimum ...

AI Engineer

Manhattan, NY

$133K - $166K/yr

Hugging Face, Ollama * AI Evaluation: LangSmith, MLflow, Braintrust, Langfuse, Arize Phoenix * Analytics: Power BI, Tableau * Machine Learning: PyTorch, TensorFlow, scikit-learn, XGBoost Job ...

AI Engineer

Manhattan, NY · On-site

$133 - $166/hr

Hugging Face, Ollama * AI Evaluation: LangSmith, MLflow, Braintrust, Langfuse, Arize Phoenix * Analytics: Power BI, Tableau * Machine Learning: PyTorch, TensorFlow, scikit-learn, XGBoost Job ...

GenAI Developer / Python

Manhattan, NY · On-site

$55.50 - $76.25/hr

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

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How much do hugging face jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for hugging face in Elizabeth, NJ is $15.56, according to ZipRecruiter salary data. Most workers in this role earn between $13.08 and $18.37 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 Elizabeth, NJ look for?

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

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

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

Infographic showing various Hugging Face job openings in Elizabeth, NJ as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $32,357 per year, or $15.6 per hour.

Python Developer with GenAI Experience - NYC, NY - Contract opportunity(c2c/W2)

Zodiac Solutions

New York, NY • On-site

$55 - $75.75/hr

Contractor

Re-posted 26 days ago


Job description

Role: Python Developer with GenAI Experience

Location: NYC, NY

Duration: Long term contract

Final interview will be face to face

Key Responsibilities:

  • Develop, optimize, and deploy Python-based AI and machine learning models, particularly focusing on Generative AI (e.g., GPT, DALL-E, etc.).
  • Collaborate with data scientists, researchers, and product teams to translate business requirements into AI solutions.
  • Fine-tune and customize pre-trained GenAI models for specific use cases.
  • Implement APIs and integrate GenAI capabilities into existing platforms and applications.
  • Build scalable, robust, and maintainable AI pipelines and workflows.
  • Ensure the quality, security, and performance of AI applications.
  • Stay updated with the latest advancements in Generative AI and incorporate best practices.
  • Document development processes, models, and workflows.

Required Skills and Qualifications:

  • Strong proficiency in Python programming.
  • Hands-on experience working with Generative AI models (e.g., GPT, BERT, DALL-E, etc.).
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Solid understanding of NLP, Computer Vision, or related AI domains.
  • Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI models.
  • Knowledge of data preprocessing, model validation, and evaluation techniques.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
 
Thanks,
Sanjay Kumar
sanjay.kumar@zodiac-solutions.com