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Pytorch Huggingface Jobs in Texas (NOW HIRING)

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... PyTorch, TensorFlow, HuggingFace etc. - Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering. - Solid experience with information retrieval ...

Esolvit, Inc.

Software Developer

Austin, TX · On-site

Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or ... Ollama, Huggingface, or other non-frontier models * 2 years of AI/ML Production: Built and deployed ...

Judge Group, Inc.

Software Developer Specialist

Austin, TX · On-site

$90 - $92/hr

Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or ... Ollama, Huggingface, or other non-frontier models AI/ML Production: Built and deployed 2-3+ ML ...

PowerSchool

Lead Software Engineer

Dallas, TX

$92K - $170K/yr

Leveraging a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Inventing and introducing state-of-the-art ...

PowerSchool Group LLC

Lead Software Engineer

Dallas, TX · On-site

$92K - $170K/yr

Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM ...

Gartner, Inc.

Sr. Data Scientist

Irving, TX · On-site

Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain ...

Gartner

Sr. Data Scientist

Irving, TX

Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain ...

hackerone

Software Engineer, Applied AI

Austin, TX · On-site

Experience integrating LLMs or generative AI models into applications Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers * Must be able and willing to ...

Gartner

Sr. Data Scientist

Irving, TX

Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain ...

Toyota

Security ML / AI Engineer, Lead

Plano, TX · On-site

PyTorch proficiency for model training and custom architectures * Experience building evaluation ... HuggingFace ecosystem experience - model hub, tokenizers, datasets library, PEFT * Experience with ...

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Pytorch Huggingface information

What are the key skills and qualifications needed to thrive as a PyTorch Hugging Face Engineer, and why are they important?

To thrive as a PyTorch Hugging Face Engineer, you need a strong background in deep learning, Python programming, and experience with machine learning frameworks, supported by a relevant degree such as computer science or engineering. Familiarity with PyTorch, Hugging Face Transformers library, version control systems like Git, and often cloud platforms (e.g., AWS, GCP) is essential, with certifications in machine learning or cloud technologies being advantageous. Strong problem-solving skills, collaboration, and clear communication help you effectively design, implement, and optimize NLP models in cross-functional teams. These skills ensure you can build state-of-the-art AI solutions efficiently, troubleshoot complex challenges, and deliver impactful results in the fast-evolving field of natural language processing.

What is the difference between Pytorch Huggingface vs Machine Learning Engineer?

AspectPytorch HuggingfaceMachine Learning Engineer
CredentialsProficiency in Python, deep learning frameworks, familiarity with NLP librariesDegree in CS, data science, or related field; experience with ML models
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLP and deep learningTech companies, consulting firms, R&D departments across industries
UsageDeveloping NLP models, fine-tuning transformers, deploying AI solutionsDesigning, building, and deploying ML models across various domains

While Pytorch Huggingface specializes in NLP model development using transformer architectures, Machine Learning Engineers work across diverse ML applications. Pytorch Huggingface skills are often part of a Machine Learning Engineer's toolkit, but the roles differ in scope and focus.

What are Pytorch Huggingface developers?

PyTorch Hugging Face developers are professionals who specialize in building and deploying machine learning and natural language processing (NLP) models using PyTorch, an open-source deep learning framework, and the Hugging Face library, which provides a wide range of pre-trained models and tools for NLP tasks. These developers create, fine-tune, and implement models for tasks like text classification, question answering, and language generation. Their expertise includes working with model architectures such as BERT, GPT, and others, as well as integrating models into applications or research projects.

How do PyTorch Huggingface engineers typically collaborate with data scientists and researchers in a project setting?

PyTorch Huggingface engineers often work closely with data scientists and researchers to implement, fine-tune, and deploy state-of-the-art machine learning models. Collaboration involves regular discussions to understand project objectives, translating research ideas into efficient code, and iterating on model performance. Engineers are responsible for optimizing model pipelines, integrating new features, and ensuring compatibility with the Huggingface ecosystem. Effective communication and teamwork are essential, as projects usually require frequent feedback loops and joint problem-solving sessions.
What are popular job titles related to Pytorch Huggingface jobs in Texas? For Pytorch Huggingface jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Pytorch Huggingface jobs in Texas look for? The top searched job categories for Pytorch Huggingface jobs in Texas are:
What cities in Texas are hiring for Pytorch Huggingface jobs? Cities in Texas with the most Pytorch Huggingface job openings:
Pytorch Huggingface jobs near you
Cloud Engineer with public sector experience

Cloud Engineer with public sector experience

Software People, Inc.

Austin, TX • On-site

$55.25 - $73.75/hr

Contractor

Posted 7 days ago

Job description

Phone/Skype Hire.  Onsite from Day 1 / Hybrid.

Location: Austin, Texas  

Duration: 6+ months

Need 3-page resumes. Must have current LinkedIn profile. Please complete the enclosed documentation in its entirety and always get RTR physically signed.

Responsibilities

A Software Developer Specialist will focus on engineering-related software services, including model ingestion, automated quantity extraction, plan conformance checks, and CI/CD automation. Leveraging PEPS ensures compliance with procurement regulations while enabling rapid onboarding of specialized talent.

The Senior Software Developer Specialist will be responsible for advancing AI initiatives by extending existing proof-of-concept (POC) solutions into scalable, production-ready web applications that directly support transportation engineering workflows. This role will focus on transforming early-stage AI models and prototypes—such as those supporting plan review automation, roadway asset detection, and digital delivery—into fully integrated applications accessible through secure, user-friendly web interfaces across the enterprise.

Skills Needed

Years

Required/Preferred

Experience

8

Required

Cloud Platforms: Experience with AWS, Azure, GCP, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, OCI AI Services).

8

Required

DevOps: Ansible, CI/CD, Docker and Kubernetes experience.

8

Required

Databases: SQL (PostgreSQL, MySQL) and NoSQL/vector databases.

8

Required

Scripting: Proficient in both Bash and PowerShell for automation.

8

Required

CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines.

3

Required

Python: 3-5+ years production experience, this is your primary language.

3

Required

NLP/LLMs: Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications.

3

Required

Time Series: Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems.

3

Required

Recommender Systems: Collaborative filtering, ranking models, personalization engines, or content recommendations.

3

Required

MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or similar platforms.

3

Required

Distributed Training: Large-scale model training, multi-GPU/multi-node setups, efficient data parallelism.

3

Required

Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference.

3

Required

Feature stores (Feast, Tecton) or advanced feature engineering.

3

Required

Model optimization: quantization, pruning, knowledge distillation.

3

Required

LLM Models: Ollama, Huggingface, or other non-frontier models

2

Required

AI/ML Production: Built and deployed 2-3+ ML models serving real users, not just experiments.

1

Preferred

Experience with Geospatial Information Systems (GIS) and analyzing spatial data.

1

Preferred

Prior experience in the transportation, logistics, or smart city sectors.

1

Preferred

Background in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data.

1

Preferred

Familiarity with public sector data compliance, security, and governance standards.

1

Preferred

Experience with the Unreal gaming engine and real world digital twinning

1

Preferred

Experience with Google Maps Cesium API

1

Preferred

Experience with Polygonflow Dash and its capabilities