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Temporary Large Language Model Llm Jobs in Utah (NOW HIRING)

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

Senior AI/ML Engineer

Draper, UT · On-site

$100 - $130/hr

Experience with large language models (LLMs) and prompt engineering. * A passion for innovation and creative problem-solving. Why BambooHR? * Make a real impact on the future of work with AI. * Enjoy ...

Utilize Large Language Models (LLMs) to analyze and summarize earnings calls, SEC filings, analyst reports, press releases, industry publications, and competitor disclosures. * Develop Retrieval ...

AI Solutions Engineering Delivery Lead

Salt Lake City, UT · On-site

$99K - $130K/yr

... Large Language Models (LLMs) and orchestrated applications - Manage and own the full lifecycle of ... LLM applications - Proven specialization in Python, Pandas, Scikit-learn, PyTorch, Langchain ...

AI Strategy Consultant

Provo, UT · On-site

$60K - $100K/yr

... of Large Language Models (LLMs) and prompt engineering. * Consultative Communicator: You can ... Your First 90 Days * Month 1: Deep dive into Atonom architecture and LLM capabilities; audit ...

... of Large Language Models (LLMs) and prompt engineering. * Consultative Communicator: You can ... Your First 90 Days * Month 1: Deep dive into Atonom architecture and LLM capabilities; audit ...

... of Large Language Models (LLMs) and prompt engineering. * Consultative Communicator: You can ... Your First 90 Days * Month 1: Deep dive into Atonom architecture and LLM capabilities; audit ...

Technical Account Manager

Lehi, UT · On-site +1

$93K - $162K/hr

Experience with AI products and large-language-model tooling (e.g., Copilot, Claude, OpenAI) * Prior experience with audience/segmentation, testing/targeting, and customer data platform solutions

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

Familiarity with ChatGPT, OpenAI APIs, and other large language models * Strong knowledge of machine learning fundamentals (supervised/unsupervised learning, model tuning, evaluation) * Experience ...

Showing results 41-60

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 Utah?

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

What are popular job titles related to Temporary Large Language Model Llm jobs in Utah?

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

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

The top searched job categories for Temporary Large Language Model Llm jobs in Utah are:

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

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

AI Engineer

System One

Salt Lake City, UT • On-site

Full-time

Re-posted 14 days ago


Job description

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How you'll make an impact • Design and develop AI-driven product features using ML, GenAI, and LLMs • Build and deploy scalable AI systems using cloud-native architectures • Implement RAG pipelines, vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes • Ensure system reliability, scalability, security, and cost efficiency • Collaborate cross-functionally with product, engineering, and business teams Required qualifications to be successful in this role What you'll bring • Up to 2 years of experience in engineering or related roles • Familiarity with AI agents and agentic frameworks (e.g., LangChain, LangGraph) • Understanding of agent design patterns and evaluation techniques • Experience with Model Context Protocol (MCP) servers • Proficiency in Python and SQL • Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices • Experience with Docker, Kubernetes, and CI/CD pipelines • Understanding of microservices architecture and API development • Knowledge of serverless design, 12-factor apps, autoscaling, and high availability • Strong problem-solving and communication skills

Ref: #404-IT Pittsburgh


System One logo

About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US