$104 - $150/hr
Du möchtest komplexe Herausforderungen mit modernen LLM-Technologien lösen und produktive ... Large Language Models (LLMs), sowie deren Integration in produktive Anwendungen unter ...
$104 - $150/hr
Du möchtest komplexe Herausforderungen mit modernen LLM-Technologien lösen und produktive ... Large Language Models (LLMs), sowie deren Integration in produktive Anwendungen unter ...
AI Engineering Intern - Fall 2026
Cincinnati, OH · On-site +1
$16 - $21/hr
Research, develop, and implement AI tools such as NLP, LLM, and IA; * Collect, preprocess, and ... Class or internship experience implementing and fine-tuning Large Language Models or interactive AI ...
AI Engineering Intern - Fall 2026
Cincinnati, OH · On-site +1
$16 - $21/hr
Research, develop, and implement AI tools such as NLP, LLM, and IA; * Collect, preprocess, and ... Class or internship experience implementing and fine-tuning Large Language Models or interactive AI ...
Senior Data Scientist
Cleveland, OH · On-site
Experience with Generative AI and Large Language Models (LLMs), with expertise in prompt engineering, Retrieval-Augmented Generation (RAG), AI agents/copilots, and knowledge extraction applications.
Senior Data Scientist
Cleveland, OH · On-site
Experience with Generative AI and Large Language Models (LLMs), with expertise in prompt engineering, Retrieval-Augmented Generation (RAG), AI agents/copilots, and knowledge extraction applications.
AI Engineering Intern - Fall 2026
Cincinnati, OH · On-site
$16 - $21/hr
Research, develop, and implement AI tools such as NLP, LLM, and IA; * Collect, preprocess, and ... Class or internship experience implementing and fine-tuning Large Language Models or interactive AI ...
AI Engineering Intern - Fall 2026
Cincinnati, OH · On-site
$16 - $21/hr
Research, develop, and implement AI tools such as NLP, LLM, and IA; * Collect, preprocess, and ... Class or internship experience implementing and fine-tuning Large Language Models or interactive AI ...
$82.15 - $105.62/hr
Praktische Erfahrung im Finetuning von Large Language Models. * Kenntnisse über Cloud‑Plattformen (z. B. Azure, AWS, GCP) und deren KI‑Services. * Erfahrung mit MLOps‑Prinzipien und ...
$82.15 - $105.62/hr
Praktische Erfahrung im Finetuning von Large Language Models. * Kenntnisse über Cloud‑Plattformen (z. B. Azure, AWS, GCP) und deren KI‑Services. * Erfahrung mit MLOps‑Prinzipien und ...
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 ...
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 ...
Senior Data Scientist
Cleveland, OH · Hybrid
Experience with Generative AI and Large Language Models (LLMs), with expertise in prompt engineering, Retrieval-Augmented Generation (RAG), AI agents/copilots, and knowledge extraction applications.
Senior Data Scientist
Cleveland, OH · Hybrid
Experience with Generative AI and Large Language Models (LLMs), with expertise in prompt engineering, Retrieval-Augmented Generation (RAG), AI agents/copilots, and knowledge extraction applications.
Agentic AI/Java/Python
Columbus, OH · On-site
Ability to develop, test, and optimize AI-driven applications that leverage large language models, agent frameworks, and retrieval capabilities. * Strong understanding of API development ...
Agentic AI/Java/Python
Columbus, OH · On-site
Ability to develop, test, and optimize AI-driven applications that leverage large language models, agent frameworks, and retrieval capabilities. * Strong understanding of API development ...
AI Engineer
$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 ...
AI Engineer
$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 ...
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 ...
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 ...
AI Engineer
$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 ...
AI Engineer
$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 ...
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 ...
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 ...
Sr. Machine Learning Engineer
Cincinnati, OH · On-site
$100K - $137K/yr
... Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and modern AI development frameworks. · Strong understanding of machine learning model development, feature ...
Sr. Machine Learning Engineer
Cincinnati, OH · On-site
$100K - $137K/yr
... Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and modern AI development frameworks. · Strong understanding of machine learning model development, feature ...
Engineer
Cleveland, OH · On-site
$90K - $150K/yr
... Large Language Models (LLMs). • Develop AI-based automation solutions using Python. • Implement Retrieval-Augmented Generation (RAG), prompt engineering, summarization, and intent classification ...
Engineer
Cleveland, OH · On-site
$90K - $150K/yr
... Large Language Models (LLMs). • Develop AI-based automation solutions using Python. • Implement Retrieval-Augmented Generation (RAG), prompt engineering, summarization, and intent classification ...
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 ...
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 ...
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 ...
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 ...
Senior Machine Learning Engineer
Cincinnati, OH · On-site
$100K - $137K/yr
Hands-on experience developing and deploying Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and modern AI development ...
Senior Machine Learning Engineer
Cincinnati, OH · On-site
$100K - $137K/yr
Hands-on experience developing and deploying Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and modern AI development ...
Use modern tools (including large language models where appropriate i.e. GitHub Copilot, Claude ... Preferred: experience developing AI-enabled Python applications (e.g., connecting to LLM APIs ...
Use modern tools (including large language models where appropriate i.e. GitHub Copilot, Claude ... Preferred: experience developing AI-enabled Python applications (e.g., connecting to LLM APIs ...
Use modern tools (including large language models where appropriate i.e. GitHub Copilot, Claude ... Preferred: experience developing AI-enabled Python applications (e.g., connecting to LLM APIs ...
Use modern tools (including large language models where appropriate i.e. GitHub Copilot, Claude ... Preferred: experience developing AI-enabled Python applications (e.g., connecting to LLM APIs ...
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 ...
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 ...
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 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 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 is the difference between Entry Level Large Language Model Llm vs Data Analyst?
| Aspect | Entry Level Large Language Model Llm | Data Analyst |
|---|---|---|
| Required Credentials | Basic understanding of NLP, programming skills (Python), coursework or certifications in AI/ML | Bachelor's degree in Data Science, Statistics, or related field; often certifications in data analysis tools |
| Work Environment | Research labs, AI companies, tech startups; focus on model development and training | Business environments, consulting firms, finance, healthcare; focus on data interpretation and reporting |
| Industry Usage | AI development, NLP applications, machine learning research | Business 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:
- Volunteer Large Language Model Llm
- Machine Learning Engineer Intern
- Senior Machine Learning Engineer
- Remote Cuda Developer
- Freelance Large Language Model Llm
- Hourly Remote Machine Learning Engineer
- Llm Researcher
- Remote Internship Machine Learning Engineer
- Contract Machine Learning Engineer
- Remote Machine Learning Engineer Biotech
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:
(Senior) AI Engineer GenAI (m/w/d) 50933 Köln Zentrale Berufserfahrung
On-site
$104 - $150/hr
Other
Posted 27 days ago
Key responsibilities
Develop GenAI applications such as chatbots, assistence systems, and agents from initial idea to production and ensure their stable operation.
Design and orchestrate complex agent workflows and integrate them with existing processes and systems.
Develop concepts for evaluation, monitoring, and observability to ensure consistent output quality.
Job description
Was wir zusammen vorhaben:
#J-18808-LjbffrAls Geschäftsbereich Analytics der REWE Group gestalten wir aktiv die datengetriebene Transformation des Handels. Unser Ziel ist es, Advanced Analytics und künstliche Intelligenz (Artificial Intelligence, AI) als festen Bestandteil aller wesentlichen Geschäftsentscheidungen zu etablieren.Mit Generativer AI eröffnen sich dabei völlig neue Möglichkeiten: von intelligenten Assistenzsystemen über automatisierte Prozesse bis hin zu völlig neuen digitalen Produkten. Um diese Potenziale nachhaltig zu heben, bauen wir gezielt Kompetenzen auf, die GenAI nicht nur experimentell, sondern robust, skalierbar und sicher in den operativen Einsatz bringen.Als (Senior) AI Engineer übernimmst du dabei eine Schlüsselrolle. Du schlägst die Brücke zwischen innovativen Prototypen und produktiven, unternehmensweiten GenAI-Lösungen und trägst maßgeblich dazu bei, diese langfristig im Unternehmen zu verankern.
Was du bei uns bewegst:Du möchtest komplexe Herausforderungen mit modernen LLM-Technologien lösen und produktive, skalierbare Anwendungen nachhaltig in bestehende Systemlandschaften integrieren? Dann bist du bei uns genau richtig.
- End-to-End-Verantwortung übernehmen: Du entwickelst GenAI-Anwendungen wie Chatbots, Assistenzsysteme und Agenten von der ersten Idee über Prototypen bis hin zur produktiven Lösung und stellst deren stabilen Betrieb sicher.
- Agentic Workflows aufbauen: Du konzipierst und orchestrierst komplexe Agenten-Workflows und verbindest diese mit bestehenden Prozessen und Systemen.
- Qualität sicherstellen: Du entwickelst Konzepte für Evaluation, Monitoring und Observability und stellst eine konsistente Output-Qualität sicher.
- Security & Governance berücksichtigen: Du setzt Guardrails sowie Anforderungen an LLM-Security und Compliance (z. B. AI Act) um.
- Interdisziplinär arbeiten: Du arbeitest eng mit Data Scientists, ML Engineers, Software Engineers und den Fachbereichen zusammen.
- Standards etablieren: Du entwickelst Best Practices für Prompt Engineering, LLMOps und produktive GenAI-Architekturen.
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Zuallererst deine Persönlichkeit: Dein analytisches und konzeptionelles Denkvermögen, gepaart mit deinen kommunikativen Fähigkeiten, insbesondere im Austausch mit fachfremden Kolleg:innen, sowie deine Begeisterung für neue Technologien im Bereich AI und Software Engineering.
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Dein abgeschlossenes Studium der Informatik, Data Science, Mathematik, Physik oder einer vergleichbaren Fachrichtung, idealerweise mit Promotion.
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Deine fundierten Kenntnisse im Software Engineering, Data Engineering und in der modernen KI-Entwicklung (z. B. Claude Code, OpenCode).
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Deine sehr guten Programmierkenntnisse in Python und SQL sowie deine Erfahrung mit skalierbaren Systemarchitekturen und Cloud-Plattformen (GCP, AWS, Azure).
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Deine praktische Erfahrung mit Generative AI, insbesondere mit Large Language Models (LLMs), sowie deren Integration in produktive Anwendungen unter Berücksichtigung von Sicherheit, Zuverlässigkeit und Qualität.
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Deine mehrjährige Erfahrung in der Entwicklung und dem Betrieb von AI-, Data- oder Softwarelösungen.
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Deine sehr guten Deutsch- und Englischkenntnisse in Wort und Schrift.
Die REWE Group als einer der größten Handels- und Touristikkonzerne Europas bietet einzigartige Voraussetzungen für alle, die etwas bewegen wollen. Entdecke einen lebensnahen Arbeitgeber, der dir Vertrauen schenkt, Gestaltungsfreiräume ermöglicht und durch flexible Strukturen Innovationen und frische Ideen fördert. Wer bei uns arbeitet und viel bewegt, darf auch viel erwarten:
- Attraktive Vergütung: Mit Sonderleistungen wie Urlaubs- und Weihnachtsgeld, vermögenswirksamen Leistungen, betrieblicher Altersvorsorge, Zuschüssen für Kantine und vergünstigtes Deutschlandticket sowie Vorteilen beim Fahrrad-Leasing.
- Mitarbeiterrabatte: Bei REWE, PENNY, toom Baumarkt und DER Touristik.
- Work-Life-Balance: Mit flexibler Arbeitszeit ohne Kernzeiten, Homeoffice, Auszeitmodellen, Betriebskindergärten, zeitgemäßen Eltern-Kind-Büros, Unterstützung bei der Suche nach Kinderbetreuung und Pflege.
- Persönliche Weiterbildung: Mit umfassenden Seminarangeboten, fachspezifischen Akademien, Tech-Talks, E-Learnings und Teilnahme an Konferenzen und Hackathons.
- Gesundheitsmanagement: Mit Vorsorgeuntersuchungen, Sport-, Gesundheits- und Kochkursen.
- Gestaltungsspielraum: Mitbestimmung bei der Auswahl von Algorithmen, Analysetechniken und Technologien und eigenverantwortliches Arbeiten an spannenden Fragestellungen aus den verschiedensten Unternehmensbereichen (Supply Chain, Logistik, Marketing, Kundenservice).
- Agiles Umfeld: Zusammenarbeit mit agilen Entwicklerteams im Big-Data-Kontext.
- Vernetzt: Unternehmensweite Netzwerke der REWE Group, wie z. B. unser LGBTIQ-Netzwerk „DITO– different together“ und das Frauennetzwerk „f.ernetzt“ für den Austausch rund um Karriere und persönliche Weiterentwicklung.
Alle weiteren Infos rund um den Bereich Analytics findest du hier.
Weitere Informationen erhältst du unter jobs.rewe-group.com.
Wir betonen ausdrücklich, dass bei uns alle Menschen - unabhängig von Geschlecht/geschlechtlicher Identität, ethnischer Herkunft und Nationalität, sozialer Herkunft, Religion/Weltanschauung, körperlicher und geistiger Fähigkeiten, Alter sowie sexueller Orientierung oder weiterer individueller Merkmale - gleichermaßen willkommen sind.