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Scientist Llm Jobs (NOW HIRING)

Yakamconsulting

As a Senior NLP and LLM Data Scientist, you will be a key player in designing, implementing, and optimizing solutions that analyze and understand human language at scale. Your work will involve ...

Perfict

Data Scientist (LLM)

... with data scientists, engineers, and product teams to integrate LLM capabilities into existing systems and platforms. • Optimize model performance in terms of accuracy, speed, and resource ...

Paradigm Health, Inc.

NY · On-site

As a Data Scientist on our team, you will help define how we measure and trust the LLM systems that power Paradigm's clinical data products and build the business intelligence layer that turns that ...

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Scientist Llm information

What is a Scientist LLM?

A Scientist LLM is a professional who specializes in applying large language models (LLMs) to scientific research and problem-solving. They combine expertise in machine learning, natural language processing, and a specific scientific domain to develop, fine-tune, and evaluate LLMs for tasks such as literature analysis, hypothesis generation, and data interpretation. Scientist LLMs often work in multidisciplinary teams to advance scientific discovery using state-of-the-art AI technologies.

How does a Scientist LLM typically collaborate with engineering and product teams?

Scientists focusing on large language models often work closely with engineering teams to translate research breakthroughs into scalable, production-ready systems. They regularly participate in cross-functional meetings to align model development with product requirements and user needs. This collaboration ensures that scientific advancements are effectively integrated into real-world applications, and scientists frequently provide technical guidance on model deployment, optimization, and evaluation. These interactions foster a dynamic environment where ideas are rapidly prototyped and iterated upon, contributing directly to impactful product features.

What are the key skills and qualifications needed to thrive as a Scientist LLM, and why are they important?

To thrive as a Scientist LLM (Large Language Model Scientist), you need a strong background in machine learning, natural language processing, and advanced programming skills, typically supported by a relevant PhD or master’s degree. Familiarity with tools like Python, TensorFlow, PyTorch, and experience working with large-scale data sets and cloud computing platforms is essential. Strong problem-solving abilities, collaboration, and clear communication are valuable soft skills for innovating and sharing complex ideas. These competencies ensure the effective development, deployment, and advancement of large language models in real-world applications.

What is the difference between Scientist Llm vs Data Scientist?

AspectScientist LlmData Scientist
Required CredentialsAdvanced degree in law, AI, or related fields; knowledge of legal and AI principlesDegree in computer science, statistics, or related fields; strong programming skills
Work EnvironmentResearch labs, AI companies, legal tech firmsTech companies, finance, healthcare, consulting
Industry UsageLegal AI applications, compliance, legal researchData analysis, predictive modeling, business insights

Scientist Llm professionals focus on applying AI within legal contexts, requiring legal and AI expertise, while Data Scientists analyze data across various industries, emphasizing statistical and programming skills. Both roles involve research and technical work but serve different industry needs.

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Infographic showing various Scientist Llm job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 84% Full Time, 10% Part Time, and 3% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

NLP Data Scientist - LLM

On-site

Yakamconsulting
See more jobs at Yakamconsultingexternal

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Posted 14 days ago

Job description

As a Senior NLP and LLM Data Scientist, you will be a key player in designing, implementing, and optimizing solutions that analyze and understand human language at scale. Your work will involve utilizing state-of-the-art NLP models and LLMs to extract valuable information, generate insights, and enable decision-making from vast and complex textual datasets. Additionally, you will lead and mentor a team of data scientists and contribute to cutting-edge research and development projects in the field of language understanding and generation.


Key Responsibilities:

  1. Lead and oversee the development and implementation of NLP models and algorithms for text data analysis.

  2. Utilize Large Language Models (LLMs) such as GPT-3, BERT, or similar, for various NLP tasks.

  3. Conduct data preprocessing, cleaning, and feature engineering to prepare text data for analysis.

  4. Collaborate with cross-functional teams to define project objectives and requirements.

  5. Utilize NLP and LLM techniques to extract insights, sentiment analysis, entity recognition, and more.

  6. Mentor and provide guidance to junior data scientists within the team.

  7. Stay updated with the latest advancements in NLP, LLMs, and AI research.

  8. Lead and contribute to research and development projects related to language understanding and generation.


Requirements:

  • Master's or Ph.D. in Data Science, Computer Science, Natural Language Processing, or a related field.

  • Minimum of 5 years of hands-on experience in NLP and LLMs, with a strong track record of successful projects.

  • Strong proficiency in programming languages such as Python.

  • Familiarity with NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers).

  • Experience in working with Large Language Models is highly desirable.

  • Solid understanding of machine learning and deep learning techniques.

  • Excellent problem-solving and analytical skills.

  • Strong communication, leadership, and teamwork abilities.

  • A passion for staying at the forefront of NLP and LLM advancements.

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