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Entry Level Large Language Model Llm Jobs in Ohio

Nestle

Senior Supply Chain Analytics Analyst

Solon, OH · On-site

$105K - $120K/yr

... leveraging large language models (LLMs), and advanced data platforms to enable intelligent ... with LLM-powered platforms such as Databricks Genie or Snowflake Cortex Experience working in ...

New

Tata Consultancy Services

AI Engineer

Edison, OH · On-site

$90K - $108K/yr

The ideal candidate will have strong expertise in the latest advancements in the field of Large Language Models (LLMs), including multimodal LLMs, agentic AI, fine-tuning, distillation, inference ...

Tata Consultancy Services

AI Engineer

Edison, OH

$90K - $108K/yr

The ideal candidate will have strong expertise in the latest advancements in the field of Large Language Models (LLMs), including multimodal LLMs, agentic AI, fine-tuning, distillation, inference ...

Tata Consultancy Services

AI Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

The ideal candidate will have strong expertise in the latest advancements in the field of Large Language Models (LLMs), including multimodal LLMs, agentic AI, fine-tuning, distillation, inference ...

Tata Consultancy Services

AI Engineer

Cincinnati, OH

$109K - $132K/yr

The ideal candidate will have strong expertise in the latest advancements in the field of Large Language Models (LLMs), including multimodal LLMs, agentic AI, fine-tuning, distillation, inference ...

Tata Consultancy Services

$90K - $108K/yr

The ideal candidate will have strong expertise in the latest advancements in the field of Large Language Models (LLMs), including multimodal LLMs, agentic AI, fine-tuning, distillation, inference ...

Tata Consultancy Services

$109K - $131K/yr

The ideal candidate will have strong expertise in the latest advancements in the field of Large Language Models (LLMs), including multimodal LLMs, agentic AI, fine-tuning, distillation, inference ...

Tata Consultancy Service Limited

Engineer

Cleveland, OH · On-site

$90K - $120K/yr

... Large Language Models (LLMs). • Develop AI-based automation solutions using Python. • Implement Retrieval-Augmented Generation (RAG), prompt engineering, summarization, and intent classification ...

Varsity Tutors

ChatGPT Tutor

Columbus, OH · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Cincinnati, OH · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Cleveland, OH · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Akron, OH · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Quora

$139K - $168K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

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Entry Level Large Language Model Llm information

What is an entry level large language model LLM?

An Entry Level Large Language Model (LLM) role typically refers to positions where individuals work with advanced AI systems, like ChatGPT or similar models, to support tasks such as data annotation, model evaluation, prompt engineering, or customer support. Entry-level LLM professionals might help train models, test outputs for accuracy, or assist with basic research. These roles usually require strong analytical skills, attention to detail, and some familiarity with AI concepts, but do not always require advanced programming experience. They offer a great starting point for those interested in the field of artificial intelligence and natural language processing.

What are the key skills and qualifications needed to thrive as an entry level large language model LLM engineer?

To thrive as an Entry Level Large Language Model (LLM) Engineer, you need a solid background in computer science, machine learning fundamentals, and proficiency in programming languages like Python, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as PyTorch or TensorFlow), version control systems, and cloud computing platforms is often required. Strong analytical thinking, problem-solving skills, and effective communication set candidates apart in this role. These competencies are crucial for developing, fine-tuning, and deploying LLMs to ensure innovative and reliable AI solutions.

What types of projects do entry level large language model LLM engineers typically contribute to?

Entry-level professionals in LLM roles often support data preparation, model fine-tuning, and evaluation tasks under the guidance of more experienced engineers or data scientists. They may annotate data, help run experiments, monitor model outputs for quality, and assist in deploying models for internal testing or limited production use. Collaboration with cross-functional teams—including machine learning engineers, product managers, and research scientists—is common, offering valuable exposure to various stages of the LLM development lifecycle. This hands-on experience helps build foundational skills and prepares individuals for more advanced responsibilities in the field.

What is the difference between Entry Level Large Language Model Llm vs Data Analyst?

AspectEntry Level Large Language Model LlmData Analyst
Required CredentialsBasic understanding of NLP, programming skills (Python), coursework or certifications in AI/MLBachelor's degree in Data Science, Statistics, or related field; often certifications in data analysis tools
Work EnvironmentResearch labs, AI companies, tech startups; focus on model development and trainingBusiness environments, consulting firms, finance, healthcare; focus on data interpretation and reporting
Industry UsageAI development, NLP applications, machine learning researchBusiness intelligence, market analysis, operational insights

Entry Level Large Language Model Llm roles focus on developing and training NLP models, requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve working with data, Llm positions are more technical and research-oriented, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Large Language Model Llm jobs in Ohio? The most popular types of Large Language Model Llm jobs in Ohio are:
What are popular job titles related to Entry Level Large Language Model Llm jobs in Ohio? For Entry Level Large Language Model Llm jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Entry Level Large Language Model Llm jobs in Ohio look for? The top searched job categories for Entry Level Large Language Model Llm jobs in Ohio are:
What cities in Ohio are hiring for Entry Level Large Language Model Llm jobs? Cities in Ohio with the most Entry Level Large Language Model Llm job openings:
Entry Level Large Language Model Llm jobs near you
Infographic showing various Entry Level Large Language Model Llm job openings in Ohio as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Senior Supply Chain Analytics Analyst

Nestle

Solon, OH • On-site

$105K - $120K/yr

Full-time

Medical, Retirement

Posted 3 days ago

New

Job description

Foods you love. Brands you trust. And a career that empowers you to grow. 
At Nestle USA, we're all working towards the same goal - to delight and deliver for our consumers. With a rich portfolio of beloved brands, including DiGiorno, Toll House, and Coffee mate, in 97% of U.S. households, we have a unique opportunity - and responsibility - to be there for every moment in our consumers' lives.

Joining Nestle means becoming part of an inclusive workplace that inspires innovation, encourages strategic thinking and creativity, and celebrates your achievements. No matter where you work within the organization, you are empowered to challenge the status quo, embrace risk-taking, and pioneer new ideas. Our supportive and collaborative environment encourages bold ambitions and continuous learning so that everyone can grow and thrive.
This position is not eligible for Visa Sponsorship.

POSITION SUMMARY
Nestle USA is seeking a Senior Analyst - Supply Chain Analytics to transform complex data into actionable, business-friendly insights that drive operational excellence and digital innovation. This role will additionally focus on designing and delivering AI-powered analytics solutions leveraging large language models (LLMs), and advanced data platforms to enable intelligent, scalable, and automated decision-making across Supply Chain. This role will help us shift from traditional reporting toward building AI-enabled data products, including conversational analytics, intelligent agents, and self-service insights.
 
 
JOB DUTIES/RESPONSIBILITIES
Apply advanced ETL and data cleansing technique to analyze large datasets using SQL and python
Develop automated dashboards in Power BI for actionable insights
Design and implement semantic data models to standardize business logic, ensure consistency, while helping IT to enable scalable, reusable analytics across a multi-platform ecosystem
Leverage AI/BI products (Snowflake Cortex, Databricks Genie) to enable self-service reporting, automated insights, and intelligent analytics experiences
Develop and operationalize AI agents (e.g., conversational bots, decision-support tools) that enable users to interact with supply chain data using natural language
Work with IT to help improve data observability practices to proactively identify and resolve data issues across pipelines and reporting systems
Partner with business and IT stakeholders to ensure trusted, high-quality data assets for analytics and AI use cases
Collaborate with Product Owners and stakeholders across project End-to-End lifecycle
Drive the transition from traditional BI reporting to AI-enabled data products and intelligent automation solutions
 
 
EDUCATION REQUIREMENTS
A Master's degree (or foreign equivalent) in Analytics, Computer Science, Data Science, Business, Mathematics, Statistics, Engineering, or a related discipline
Plus, a minimum of 1 year of experience in the job offered or as an Analyst
or
A Bachelor's degree (or foreign equivalent) in Analytics, Computer Science, Data Science, Business, Mathematics, Statistics, Engineering, or a related discipline
Plus, a minimum of 3 years of experience in the job offered or as an Analyst
 
 
EXPERIENCE & SKILLS REQUIREMENTS
Hands-on experience with SQL, Python, Scala, and DAX, including PySpark for large-scale data processing
Advanced experience with Power BI or similar BI tools
Experience with semantic modeling techniques for scalable analytics solutions
Experience developing or supporting AI/ML or GenAI-based solutions
Proven results with LLM-powered platforms such as Databricks Genie or Snowflake Cortex
Experience working in complex, multiplatform architecture including multiple data lakes (Azure, Snowflake) and multiple analytics tools
Ability to bridge business needs with AI and advanced data solutions to drive measurable impact and optimal tech stack
Hands-on experience with React and Streamlit for configuring webapps
Strong supply chain knowledge
 
 
TRAVEL
Must be willing to travel up to 5% of time domestically within the United States
 
The approximate pay range for this position is $105,000 to $120,000 base salary. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location.
Nestle offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefits packages may vary depending on the position. Learn more at: About Us | Nestle Careers
 
#LI-CB1 

It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestle. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestle seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestle home.
 

The Nestle Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.

This position is not eligible for Visa Sponsorship. 

Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.

Job Requisition: 405675 

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