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Remote Huggingface Jobs in Dallas, TX (NOW HIRING)

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... TensorFlow, HuggingFace etc. - Proven track record building transformer/NLP / LLM models ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

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Remote Huggingface information

What is a remote Huggingface job?

Remote Huggingface jobs are positions offered by Hugging Face, a company known for its open-source machine learning and natural language processing tools, that allow employees to work from anywhere outside of a traditional office setting. These roles can include engineering, research, product management, and other tech-related positions. Working remotely for Hugging Face gives employees flexibility while contributing to cutting-edge AI projects and collaborating with an international team using digital communication tools. Remote employees are typically expected to have reliable internet connections and be proactive in virtual collaboration. Hugging Face is committed to supporting remote work and fostering an inclusive, global workplace.

What are the key skills and qualifications needed to thrive as a remote Huggingface engineer?

To thrive as a Remote Hugging Face Engineer, you need a strong background in machine learning, deep learning frameworks, and proficiency in Python, often supported by a degree in computer science or related fields. Experience with Hugging Face Transformers, PyTorch or TensorFlow, and version control systems like Git is typically required. Excellent communication, self-motivation, and collaboration skills are essential for working effectively in a distributed team environment. These skills and qualities are crucial for building robust AI solutions, contributing to open-source projects, and ensuring project success in a remote setting.

What are some common challenges faced by remote Huggingface engineers when collaborating with global teams?

Remote Huggingface engineers often collaborate with colleagues across multiple time zones, which can make scheduling meetings and ensuring real-time communication challenging. To overcome this, teams rely heavily on asynchronous communication tools, thorough documentation, and clear workflows. Another challenge is staying up to date with rapid developments in machine learning models and open-source contributions, requiring proactive engagement with the Huggingface community and internal knowledge-sharing sessions. Despite these hurdles, remote engineers typically benefit from a flexible work environment and access to a vibrant, supportive team.

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

AspectRemote HuggingfaceRemote Machine Learning Engineer
CredentialsExperience with NLP, Python, and ML frameworks; familiarity with Huggingface librariesDegree in Computer Science or related field; experience with ML algorithms, Python, and cloud platforms
Work EnvironmentCollaborative, often project-based, with a focus on NLP and AI modelsDeveloping, testing, and deploying ML models across various domains, including NLP, CV, and more
Industry UsagePrimarily in AI/ML companies, research labs, and startups focusing on NLPAcross tech companies, startups, and research institutions working on machine learning solutions

Remote Huggingface roles focus on NLP and AI model development using Huggingface libraries, requiring specific NLP expertise. Remote Machine Learning Engineers have broader responsibilities across ML domains, with a wider skill set. Both roles are remote-friendly but differ in specialization and scope.

What are popular job titles related to Remote Huggingface jobs in Dallas, TX?

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The top searched job categories for Remote Huggingface jobs in Dallas, TX are:

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Cities near Dallas, TX with the most Remote Huggingface job openings:

Remote Huggingface jobs near you

Sr Data Scientist GenAI

Select Minds LLC

Dallas, TX • On-site, Remote

$150K - $210K/yr

Full-time

Re-posted 13 days ago

Job description

Benefits:
  • Competitive salary
  • Flexible schedule
  • Opportunity for advancement

Sr Data Scientist (NLP / LLM / Generative AI)
Location: Dallas, TX
Roles & Responsibilities :
- Design, build, fine-tune, and deploy LLMs, transformer-based NLP models, and GenAI solutions for both batch and real-time/streaming contexts.
- Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation).
- Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to production-ensuring reliability, scalability, monitoring, and maintainability.
- Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection.
- Optimize models and pipelines for performance, cost, and efficiency.
- Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use.
- Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning.
- Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt.
Must-Have Qualifications:
- 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI.
- Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc.
- Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering.
- Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases.
- Experience working in production / deploying models (batch and streaming), working with MLOps practices.
- Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty.
- Good communicator: able to translate complex technical detail to business / non-technical stakeholders.
Nice to Have:
- Master's in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field.
- Experience with multimodal models (vision + text) or emerging LLMs and agent-based systems.
- Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks.
- Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements.
This position is temporarily remote.
Compensation: $150,000.00 - $210,000.00 per year
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

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