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Hugging Face Jobs in Dallas, TX (NOW HIRING)

AI/ML Engineer

Plano, TX · On-site

$65 - $75/hr

Hands-on experience with GenAI libraries and frameworks, including LangChain, LlamaIndex, Hugging Face, and OpenAI APIs. * Deep operational expertise with vector databases, such as Pinecone, Milvus ...

Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar. * Ability to develop workflow automation via an agentic framework. * Azure experience preferred.

Exposure to Azure OpenAI, OpenAI APIs, Hugging Face, LangChain, or vector databases. Basic knowledge of DevOps or MLOps concepts. Familiarity with information retrieval or search. Exposure to ...

Senior Applied ML Engineer

Irving, TX · Remote

$125K - $183K/yr

Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience with ML Ops platforms and deploying ML systems into production (MLflow, Kubeflow or equivalent)

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Hugging Face information

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How much do hugging face jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for hugging face in Dallas, TX is $15.29, according to ZipRecruiter salary data. Most workers in this role earn between $12.84 and $18.08 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 are popular job titles related to Hugging Face jobs in Dallas, TX? For Hugging Face jobs in Dallas, TX, the most frequently searched job titles are:
What cities near Dallas, TX are hiring for Hugging Face jobs? Cities near Dallas, TX with the most Hugging Face job openings:
Infographic showing various Hugging Face job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $31,799 per year, or $15.3 per hour.

Datascience _ Solution Architect

Tata Consultancy Service Limited

Addison, TX • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Job Description:
ü 8+ years in software/solution architecture, with 3+ in AI/ML or GenAI.
ü Hands-on with LLMs, embeddings, vector search (OpenAI, Hugging Face, Llama, Elastic Search ).
ü Strong in Python (FastAPI, LangChain,).
ü Experience with GPU optimization, cloud-native deployment, and MLOps.
ü Strong communication skills able to present to executives
ü Masters degree in Computer Science/Data Science, or a related technical field
ü Collaborating with a diverse set of partners and stakeholders from various Line of Business.
ü Highly motivated, proactive and a self-starter; strong sense of ownership ability to create and execute plans without daily oversight
ü Critical thinker; ability to analyze problems and identify issues and provide solutions
ü Ability to navigate the enterprise data assets across multiple functions.
ü Highly organized. Effectively prioritizes and balances multiple efforts in a fast-paced environment
ü Analytical abilities great problem solving
ü Client focused
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000 - 140,000 a year