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Temporary Large Language Model Llm Jobs in Arizona

Koantek

Data Scientist

Chandler, AZ · On-site

Strong experience in Generative AI and Large Language Model (LLM) applications. * Hands-on experience with LangChain or similar AI orchestration frameworks. * Solid understanding of Machine Learning ...

Koantek

Data Scientist

Chandler, AZ · On-site

Strong experience in Generative AI and Large Language Model (LLM) applications. Hands-on experience with LangChain or similar AI orchestration frameworks. Solid understanding of Machine Learning ...

Achieve

Principal Growth Manager - SEO/AEO

Tempe, AZ

... and large language model mention/citation growth. The ideal candidate is an impact-driven leader ... Conduct ongoing analysis of top-ranking content and LLM-generated citations in our category and ...

Achieve

Principal Growth Manager - SEO/AEO

Tempe, AZ

... and large language model mention/citation growth. The ideal candidate is an impact-driven leader ... Conduct ongoing analysis of top-ranking content and LLM-generated citations in our category and ...

Achieve

Principal Growth Manager - SEO/AEO

Tempe, AZ · On-site

... and large language model mention/citation growth. The ideal candidate is an impact-driven leader ... Conduct ongoing analysis of top-ranking content and LLM-generated citations in our category and ...

Entertainment Partners

AI Engineer

Tempe, AZ

Implement transformer-based models and large language model (LLM) integrations for production use cases including NLP, information extraction, classification, and generation. * Apply parameter ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

Implement transformer-based models and large language model (LLM) integrations for production use cases including NLP, information extraction, classification, and generation. * Apply parameter ...

SecondTalent

LLMOps Engineer

Phoenix, AZ · On-site

$160 - $230/hr

Key Skills & Responsibilities in 2026 The hardest part of putting a large language model in ... They build the operational layer that lets LLM-powered systems ship safely, measure their own ...

SmartRent

Application Security Engineer

Phoenix, AZ · On-site

$58.25 - $78/hr

Use cloud-native security tools to identify and secure large language model (LLM) integrations and implement appropriate security guardrails. Required Qualifications * 4-6 years of experience in ...

Plugins Inc

Python Automation test

Phoenix, AZ · On-site

... Large Language Models (LLMs), Playwright, and MCP (Model Context Protocol). The ideal candidate will have a strong background in test automation and practical experience applying AI and LLM ...

NOAO

Principal Software Architect

Tucson, AZ

Evaluate and adopt emerging technologies, including artificial intelligence (AI), machine learning (ML), generative AI, and large language model (LLM) solutions, where they deliver measurable ...

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All JobsLarge Language Model Llm JobsTemporary Large Language Model Llm JobsTemporary Large Language Model Llm Jobs in Arizona

Temporary Large Language Model Llm information

What is a temporary large language model LLM?

Temporary Large Language Model (LLM) roles involve short-term positions where individuals work with or support the development, training, or deployment of large language models like GPT or similar AI technologies. These roles may include tasks such as data annotation, prompt engineering, model evaluation, or assisting in content moderation powered by LLMs. Temporary LLM roles are often project-based and can be found in tech companies, research labs, or organizations utilizing AI for various applications. They generally require familiarity with AI concepts, attention to detail, and sometimes programming skills.

What are the key skills and qualifications needed to thrive as a temporary large language model LLM?

To thrive as a Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Proficiency with tools like Python, TensorFlow or PyTorch, and experience with cloud platforms and version control systems is typically required. Strong problem-solving skills, attention to detail, and effective communication help engineers collaborate and innovate in complex projects. These skills are crucial for developing, fine-tuning, and deploying LLMs that deliver accurate and ethical AI solutions.

What are the typical challenges faced by professionals working in a temporary large language model LLM role, and how can they be addressed?

Professionals in temporary Large Language Model (LLM) roles often encounter challenges such as quickly adapting to new datasets, ensuring data privacy, and optimizing model performance within tight deadlines. Since these roles are project-based, there may be limited onboarding time, requiring a strong ability to learn and collaborate rapidly with cross-functional teams like data engineers and product managers. To succeed, it's helpful to be proactive in seeking clarification, documenting work thoroughly, and staying updated on the latest advancements in LLM technologies.

What is the difference between Temporary Large Language Model Llm vs Data Scientist?

AspectTemporary Large Language Model LlmData Scientist
Required CredentialsTypically no formal degree, but expertise in AI/ML and programmingUsually requires a degree in Computer Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesData analysis, modeling, and business insights in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, and more
Common Search & ComparisonFocuses on AI model deployment and developmentFocuses on data analysis and insights

The main difference is that a Temporary Large Language Model Llm is an AI system or model used for language processing, while a Data Scientist analyzes data to generate insights. The Llm is a tool or product, whereas the Data Scientist is a professional role that may utilize models like Llm in their work.

What are the most commonly searched types of Large Language Model Llm jobs in Arizona?

The most popular types of Large Language Model Llm jobs in Arizona are:

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For Temporary Large Language Model Llm jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Temporary Large Language Model Llm jobs in Arizona look for?

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What cities in Arizona are hiring for Temporary Large Language Model Llm jobs?

Cities in Arizona with the most Temporary Large Language Model Llm job openings:

Temporary Large Language Model Llm jobs near you

Data Scientist

Koantek

Chandler, AZ • On-site

Contractor

Re-posted 6 days ago

Job description


Job Title: Data Scientist / Senior Data Scientist
Job Description:
We are seeking a highly skilled Data Scientist with strong experience in Generative AI, traditional Machine Learning, and ML Ops. The ideal candidate will have hands-on expertise in developing AI-driven solutions, building predictive models, and deploying scalable machine learning applications into production environments.
Key Responsibilities:
  • Design, develop, and implement Generative AI solutions including chatbots and AI assistants.
  • Work with frameworks such as LangChain and related LLM orchestration tools.
  • Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting.
  • Develop end-to-end ML pipelines and support deployment of models into production environments.
  • Collaborate with cross-functional teams to identify business problems and translate them into scalable AI/ML solutions.
  • Monitor, maintain, and improve model performance and reliability.
  • Work with structured and unstructured datasets to derive actionable insights.

Required Skills:
  • Strong experience in Generative AI and Large Language Model (LLM) applications.
  • Hands-on experience with LangChain or similar AI orchestration frameworks.
  • Solid understanding of Machine Learning concepts including:
    • Predictive Modeling
    • Classification
    • Regression
    • Time Series Analysis
  • Experience with ML Ops practices and deploying machine learning models into production.
  • Proficiency in Python and common data science libraries/frameworks.
  • Experience with cloud platforms and modern AI/ML toolsets.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:
  • Experience with Databricks is a plus.
  • Familiarity with cloud-based AI/ML environments.
  • Experience working in enterprise-scale AI initiatives.

Experience Required:
  • 5+ years of experience in Data Science, Machine Learning, or AI-related roles.

Apply