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Pytorch Huggingface Jobs in Dallas, TX (NOW HIRING)

Ekcel Technologies Inc

Python LLM Consultant

Dallas, TX · On-site

... PyTorch, HuggingFace Ecosystem). - Expertise in JavaScript framework (e.g., React), HTML5, and CSS. - Service Oriented and Microservices architectures with REST and GraphQL - knowledge of SQL and PL ...

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

PyTorch * TensorFlow * Transformers (HuggingFace) * Experience with model monitoring and ML observability. * Ability to write clean, optimized code and leverage AI code assistants. ✅ NLP / GenAI ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site

$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 ...

Noblesoft Technologies

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

... HuggingFace * Tools/Framework: Git, TensorFlow, PyTorch, PySpark, AWS, MLflow, Docker, Kubernetes, Databricks, SparkSQL, OpenCV, Azure, YOLO, Scikit-Learn, FastAPI, Flask, Django, Keras, Pandas ...

PowerSchool

Lead Software Engineer

Dallas, TX · On-site

... Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance -- scalability, cost, latency, throughput ...

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 ...

Gartner

Sr. Data Scientist

Irving, TX · On-site

... pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain, LlamaIndex), SQL/relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g ...

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 ...

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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.
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Pytorch Huggingface jobs near you

Python LLM Consultant

Ekcel Technologies Inc

Dallas, TX • On-site

Other

Posted 14 days ago

Job description

Core Skill:
- GenAI (with QLORA, LORA, and PEFT), NLP, LLMs, RAG (with Lang Chain, LlamaIndex)
- Model Tuning, Vector Search and Embeddings, Prompt Engineering
- Service Oriented and Microservices architectures with REST and GraphQL
- Strong Python Engineering (with FastAPI, Pydantic, PyTorch, HuggingFace Ecosystem).
- Expertise in JavaScript framework (e.g., React), HTML5, and CSS.
- Service Oriented and Microservices architectures with REST and GraphQL
- knowledge of SQL and PL/SQL

Qualifications:

6-10 years of relevant experience in an Apps Development role or senior level experience in an Enterprise Architecture role with subject matter expert in one or more areas.

2-3 years of Gen AI experience

Experience with Python, Java and AI strategy, governance and Devin AI.

Exhibit expertise in all aspects of technology by understanding broader patterns and techniques as they apply to Citi’s internal and external cloud platforms (AWS, Akamai, Lightspeed)

Lead resources and serve as a functional SME across the company through advanced knowledge of algorithms, data structures, distributed systems, networking, use of knowledge and experience to lead, architect, and drive broader adoption forward.

Acquire relevant technology and financial industry skills (AWS PWS) and understand all aspects of NGA technology – including innovative approaches and new opportunities.

Demonstrate knowledge on automating code quality, code performance, unit testing, and build processing in the CI/CD.

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