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Huggingface Jobs in Summit, NJ (NOW HIRING)

PyTorch, TensorFlow, JAX, HuggingFace, LangChain, LangGraph, Llamalndex, DSPy, ONNX Runtime, TensorRT GenAl & LLMs: GPT-4/Claude API, LoRA/QLoRA fine-tuning, RAG (FAISS, Pinecone, ChromaDB), prompt ...

Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas You'll get ...

PyTorch, HuggingFace, DSPy) * You're open to working 5 days a week out of our office in NYC (we'll cover relocation!) You might excel if * You have hands-on experience operating at an early stage ...

Senior AI Engineer

New York, NY · On-site +1

$114K - $157K/yr

Experience with modern AI frameworks (eg HuggingFace, LangChain, etc.) and designing data pipelines (Airflow, Dagster, or equivalent), * Solid understanding of cloud-based infrastructure (AWS, GCP ...

Experience with modern AI frameworks (eg HuggingFace, LangChain, etc.) and designing data pipelines (Airflow, Dagster, or equivalent), * Solid understanding of cloud-based infrastructure (AWS, GCP ...

Hands-on experience integrating ML APIs and services (e.g., OpenAI, Anthropic, ElevenLabs, HuggingFace, AWS SageMaker, or similar) * Proficiency in Python and/or another backend language (Go, Java ...

About White Circle We process over 100M+ API calls every month and have raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry ...

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Huggingface information

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.

Infographic showing various Huggingface job openings in Summit, NJ as of July 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.
AI/ML Engineer (MLops)

AI/ML Engineer (MLops)

iTech US, Inc.

Woodbridge, NJ • On-site

Other

Posted 12 days ago


Job description

AI/ML Engineer (MLOps)

Iselin, NJ

12 months

Technical Expertise
ML/Al Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, LangChain, LangGraph, Llamalndex, DSPy, ONNX Runtime, TensorRT

GenAl & LLMs: GPT-4/Claude API, LoRA/QLoRA fine-tuning, RAG (FAISS, Pinecone, ChromaDB), prompt engineering, agentic orchestration Languages: Python, C/C++, Java, SQL, Scala, GoLang, JavaScript
Cloud & Infra: AWS (SageMaker, S3, Lambda), Google Cloud Platform (GKE, Vertex Al, BigQuery), Kubernetes, Terraform, Docker

Databases: PostgreSQL, MySQL, MongoDB, Neo4j, BigQuery, Pinecone, ChromaDB, Redis Libraries: Pandas, NumPy, Scikit-learn, OpenCV, Keras, Spark, Kafka Dev

Tools: Linux, Git, Docker, Kubernetes, Jenkins

Experience Required

  • Experience building production Al/ML systems at scale
  • Deploying real-time ML inference pipelines processing millions of records at high throughput
  • Experience building end to end automated MLOps capabilities along with model and feature drift monitoring
  • Experience with event-driven and streaming platforms such as Apache Kafka,

Education : At least a bachelor s degree (or equivalent experience) in Computer Science, Software Engineering, Electronics Engineering, Information Systems, or a closely related field is required for the project