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Hugging Face Jobs in Spring, TX (NOW HIRING)

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas, Scikit-Learn, Hugging Face). * Experience with cloud platforms (e.g., AWS, Azure, GCP) and ...

Augment

Principal Scientist, Data

Houston, TX

$80 - $83/hr

Strong proficiency in Python and ML frameworks ( PyTorch, TensorFlow, Hugging Face ). * Advanced SQL skills and experience integrating data from multiple sources. * Experience with Snowflake , AWS ...

Veracity Software Pvt. Ltd.

AI Lead

Houston, TX · On-site

... Hugging Face, and LangChain ecosystem (LangGraph, LangSmith, LangFuse). • Strong programming skills in Python, C#, and Node.js, with experience in API development and system integration. • ...

Kirkland & Ellis

Innovation AI Developer

Houston, TX · On-site

... Hugging Face, LangChain, and LangFlow. • Design, build, and maintain RAG pipelines using vector databases and knowledge graph solutions. Develop AI agents that automate multi-step workflows and ...

Hp

Senior Software Engineer

Spring, TX

$109K - $143K/yr

Hands-on machine learning experience with frameworks such as PyTorch, TensorFlow / TensorFlow Lite, ONNX Runtime , or Hugging Face Transformers , including model inference, fine-tuning, and ...

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Production-level experience with Pandas, NumPy, scikit-learn, XGBoost, TensorFlow/PyTorch, Hugging Face Transformers, FastAPI/Flask, MLflow, and pytest SQL: Advanced proficiency with complex queries ...

Oxy

Senior AI Language Model Engineer

Houston, TX · On-site

$99K - $137K/yr

Familiarity with modern NLP/LLM frameworks and libraries such as LangChain, LangGraph, Hugging Face Transformers, and vector databases. * Experience with Retrieval-Augmented Generation (RAG), multi ...

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How much do hugging face jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for hugging face in Spring, TX is $14.15, according to ZipRecruiter salary data. Most workers in this role earn between $11.88 and $16.73 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.

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What cities near Spring, TX are hiring for Hugging Face jobs?

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Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Spring, TX as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $29,437 per year, or $14.2 per hour.

Senior AI Engineer

Pivotal Solutions

Houston, TX • On-site

$99K - $137K/yr

Full-time

Re-posted 16 days ago

Job description


Responsibilities
  • Design, develop, and deploy advanced AI and machine learning models to solve complex business problems across diverse domains.
  • Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to integrate AI solutions into production systems.
  • Optimize AI pipelines for performance, scalability, and reliability, ensuring efficient processing of large-scale datasets.
  • Drive innovation by researching and implementing cutting-edge AI techniques, frameworks, and tools to enhance product capabilities.
  • Mentor junior engineers and provide technical guidance on AI best practices, model development, and deployment strategies.
  • Monitor and maintain AI systems in production, ensuring robust performance and rapid response to issues.

Requirements
Qualifications
  • Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 5+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role, with a proven track record of delivering impactful AI solutions.
  • Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and the end-to-end AI development lifecycle, including data preprocessing, model training, and deployment.
  • Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas, Scikit-Learn, Hugging Face).
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) for deploying AI models.
  • Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
  • Strong communication and collaboration skills, with experience working in agile, cross-functional teams.

Apply