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Trainee Large Language Model Llm Jobs in Washington

kgs

Perplexity/AI Integration Lead

Washington, DC · On-site +1

The ideal candidate is a technically proficient and strategically minded professional with hands-on experience implementing AI-powered solutions, including large language model (LLM) platforms such ...

Koniag, Inc.

Perplexity/AI Integration Lead

Washington, DC · On-site

$250K - $350K/yr

The ideal candidate is a technically proficient and strategically minded professional with hands-on experience implementing AI-powered solutions, including large language model (LLM) platforms such ...

kgs

Perplexity/AI Integration Lead

Washington, DC · On-site +1

The ideal candidate is a technically proficient and strategically minded professional with hands-on experience implementing AI-powered solutions, including large language model (LLM) platforms such ...

eSimplicity

LLM Specialist

Columbia, MD · On-site

The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads innovation ...

eSimplicity

LLM Specialist

Columbia, MD · On-site +1

$93K - $100K/yr

The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads innovation ...

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Trainee Large Language Model Llm information

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

AspectTrainee Large Language Model LlmData Scientist
Required CredentialsTypically pursuing or recent graduate in computer science, AI, or related fieldsBachelor's or master's in data science, statistics, computer science
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, product development teams
Industry UsageAI research, NLP projects, machine learning developmentData analysis, predictive modeling, decision support

While both roles involve working with data and algorithms, a Trainee Large Language Model Llm focuses on developing and training language models, often in research or AI labs. A Data Scientist applies statistical and analytical skills to interpret data and support business decisions. The roles differ mainly in their focus—AI model training versus data analysis—though they share foundational skills in programming and data handling.

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Trainee Large Language Model Llm jobs near you

LLM Engineer/ AI/ML Engineer

Pyramid Consulting, Inc

Mclean, VA • On-site

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Pyramid Consulting, Inc. is a leading company in the financial industry, and they are seeking a talented LLM Engineer/ AI/ML Engineer. The role involves designing, fine-tuning, and deploying Large Language Model solutions for various business use cases.
Responsibilities:
• Design, fine-tune, and deploy Large Language Model (LLM) solutions for business use cases.
• Integrate LLMs with applications using frameworks like LangChain.
• Implement prompt engineering and model optimization techniques.
• Evaluate model performance and continuously improve accuracy, speed, and cost efficiency.
• Stay current with advancements in Generative AI, LLM frameworks, and emerging tools.
Qualifications:
Required:
• Key skills; LLM, Gen AI, LangChain
• Design, fine-tune, and deploy Large Language Model (LLM) solutions for business use cases.
• Integrate LLMs with applications using frameworks like LangChain.
• Implement prompt engineering and model optimization techniques.
• Evaluate model performance and continuously improve accuracy, speed, and cost efficiency.
• Stay current with advancements in Generative AI, LLM frameworks, and emerging tools.
Company:
Pyramid Consulting, a global leader in workforce and technology solutions, empowers individuals and organizations to transform and thrive in the most challenging and competitive markets. Founded in 1996, the company is headquartered in Alpharetta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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