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Internship Large Language Model Llm Jobs in Wisconsin

Qualysoft

... LLM-basierten Conversational-AI-Losungen (z. B. RAG-Applikationen) in Microsoft Azure Aufbau, ... Tiefgreifendes Verstandnis und praktische Erfahrung mit Large Language Models und Conversational-AI ...

Bechtle

$50.50 - $69.25/hr

Du nutzt Large Language Models (LLM) sowie agentische Frameworks wie Pydantic AI, um neuartige Anwendungen zu realisieren * Du rollst Proof-of-Concepts (PoCs) sowie AI-Minimal Viable Products (MVPs ...

Paradigm

WI · On-site

$120 - $150/hr

You will apply advanced ML techniques--ranging from computer vision to large language models--to ... Develop and optimize CNN and LLM-powered models for computer vision, document extraction, and ...

Abbott

Lead AI Platform Engineer

Madison, WI · On-site

$99K - $198K/yr

... Large Language Models. This role will be responsible for the development and deployment of ... Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ...

Abbott

Lead AI Platform Engineer

Madison, WI · On-site

$99K - $198K/yr

... Large Language Models. This role will be responsible for the development and deployment of ... Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ...

Abbott

Lead AI Platform Engineer

Madison, WI · On-site

$99K - $198K/yr

... Large Language Models. This role will be responsible for the development and deployment of ... Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ...

Deloitte

Customer Deployment Specialist

Milwaukee, WI · On-site

Experience with artificial intelligence/large language model platform features, including Skills, Model Context Protocol (MCP), Plugins, or partner-led delivery models involving systems integrators ...

Robert Half

IT Support Manager

Middleton, WI · On-site

$40 - $47/hr

AI, automation, Copilot, and Large Language Model technologies** within IT support. * Identify opportunities to leverage AI to automate and improve Tier 1 support. * Partner with business leaders to ...

New

AgSource

AI Engineer

Watertown, WI · On-site

LLM Agents & Prompt Engineering * Architect and implement LLM agents. * Build composable, tool ... Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ ...

Urus Group LP

AI Engineer

Watertown, WI · On-site +1

LLM Agents & Prompt Engineering * Architect and implement LLM agents. * Build composable, tool ... Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ ...

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Internship Large Language Model Llm information

What types of projects do interns typically work on during a large language model (LLM) internship?

During a Large Language Model (LLM) internship, interns often participate in projects such as data preprocessing, fine-tuning models on specific tasks, evaluating model outputs, and developing tools for model interpretability. Interns may collaborate closely with research scientists and engineers, contributing to both experimental and production-level code. These projects provide practical experience with natural language processing pipelines and exposure to the latest advancements in AI, making it a valuable learning opportunity for those interested in a career in machine learning and artificial intelligence.

What are the key skills and qualifications needed to thrive as an internship large language model (LLM) specialist?

To thrive as an Internship Large Language Model (LLM) specialist, you need a solid grasp of machine learning fundamentals, natural language processing, and proficiency in programming languages like Python, often supported by coursework or research in computer science or related fields. Familiarity with tools such as TensorFlow, PyTorch, Hugging Face Transformers, and experience using cloud platforms are typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you collaborate with teams and present complex ideas clearly. These competencies are crucial for developing, evaluating, and refining LLMs to create impactful AI solutions.

What is an internship in large language model (LLM)?

An Internship in Large Language Model (LLM) typically involves working with advanced artificial intelligence models like GPT or similar technologies. Interns in this field assist with tasks such as data preparation, model training, evaluation, and deployment of natural language processing applications. They may also contribute to research, experimentation, and development of new model features or performance improvements. This role provides hands-on experience in AI, machine learning, and natural language processing, often requiring knowledge of programming, data science, and AI concepts.

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

AspectInternship Large Language Model LlmData Scientist Intern
Required CredentialsRelevant coursework, programming skills, knowledge of NLPStatistics, programming, data analysis
Work EnvironmentAI research labs, tech companies, startupsData analysis teams, tech firms, research institutions
Employer & Industry UsageAI development, NLP projects, machine learningData analysis, predictive modeling, business insights

Both roles involve data and programming skills, but Internship Large Language Model Llm focuses on natural language processing and AI model development, while Data Scientist Interns work on analyzing data to generate insights. The choice depends on your interest in AI/NLP versus data analysis and business applications.

What are popular job titles related to Internship Large Language Model Llm jobs in Wisconsin? For Internship Large Language Model Llm jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Internship Large Language Model Llm jobs in Wisconsin look for? The top searched job categories for Internship Large Language Model Llm jobs in Wisconsin are:
What cities in Wisconsin are hiring for Internship Large Language Model Llm jobs? Cities in Wisconsin with the most Internship Large Language Model Llm job openings:
Internship Large Language Model Llm jobs near you

Azure AI / ML Engineer (m/w/d)

Qualysoft

On-site, Remote

Contractor

Re-posted 10 days ago

Job description

Fur ein langfristig angelegtes IT- und KI-Programm wird ein Azure AI / ML Engineer (m/w/d) gesucht. Ziel ist die Konzeption, Entwicklung, Implementierung und der Betrieb moderner KI-Losungen mit Schwerpunkt auf Large Language Models, Conversational AI, Multi-Agenten-Systemen sowie dem produktiven Einsatz skalierbarer Microsoft-Azure-Architekturen.Der Azure AI / ML Engineer unterstutzt Fachbereiche und IT-Teams bei der Umsetzung innovativer KI-Anwendungen und begleitet diese von der Anforderungsaufnahme bis zum produktiven Betrieb und Wissenstransfer.


520 - 560 a day
Rahmenbedingungen
Start: Marz/April 2026
Laufzeit: 3 Jahre (optional verlangerbar bis max. 5 Jahre)
Auslastung: 100 %
Arbeitsmodell: Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote
Projektsprache: Deutsch und Englisch

Aufgaben:
Konzeption, Entwicklung und Implementierung von LLM-basierten Conversational-AI-Losungen (z. B. RAG-Applikationen) in Microsoft Azure
Aufbau, Orchestrierung und Weiterentwicklung von AI-Agenten und Multi-Agenten-Systemen
Einsatz und Integration von Model Context Protocols (MCPs)
Aufnahme, Analyse und Strukturierung fachlicher Anforderungen in enger Abstimmung mit den betroffenen Fachbereichen
Agile Umsetzung der Losungen sowie kontinuierliche Weiterentwicklung im Austausch mit den Fachbereichen
Anbindung, Integration und Harmonisierung relevanter interner und externer Datenquellen
Rollout und nutzergerechte Bereitstellung der Losungen im operativen Betrieb
Ubergabe der Losungen an interne Teams inklusive Upskilling und Befahigung der Anwender
Sicherstellung von Skalierbarkeit, Sicherheit, Wartbarkeit und stabilem Betrieb der AI-Losungen

Anforderungen:
Tiefgreifendes Verstandnis und praktische Erfahrung mit Large Language Models und Conversational-AI-Losungen (z. B. RAG) in Azure
Erfahrung in der Konzeption, Entwicklung und Implementierung von AI-Agenten / Multi-Agenten-Systemen
Erfahrung im Einsatz von Model Context Protocols (MCPs)
Erfahrung im Anforderungsmanagement und in der Zusammenarbeit mit Fachbereichen
Erfahrung in der agilen Umsetzung und Weiterentwicklung technischer Losungen
Erfahrung in der Integration und Harmonisierung von Datenquellen
Erfahrung im Rollout und Betrieb produktiver Anwendungen
Erfahrung in der Ubergabe von Losungen, Dokumentation sowie Befahigung von Anwendern
Sehr gute Kenntnisse in Microsoft Azure, insbesondere:
Microsoft Foundry, Azure Cognitive Services, Azure Machine Learning
Erfahrung in der Entwicklung robuster und skalierbarer Anwendungen mit C# / .NET sowie Python
Erfahrung mit DevOps-Prinzipien und CI/CD-Pipelines
Praktische Erfahrung mit Docker und Azure Kubernetes Service (AKS)
Erfahrung mit Infrastructure as Code
Hohe Lernbereitschaft und Interesse an neuen Entwicklungen im Bereich Kunstliche Intelligenz

PLUS:
Kenntnisse in Confluence und JIRA
Erfahrung mit Azure API Management, Monitoring & Logging (Azure Monitor, Log Analytics) sowie Data Governance (Microsoft Purview)
Branchenkenntnisse in der Energieindustrie oder im offentlichen Sektor
Strukturierte und eigenverantwortliche Arbeitsweise
Hohe Kommunikationsfahigkeit gegenuber technischen und fachlichen Stakeholdern
Teamfahigkeit sowie ausgepragtes Qualitatsbewusstsein
Interessiert?
Bitte senden Sie uns Ihren aktuellen Lebenslauf inklusive Ihrer Verfugbarkeit sowie Ihrer Stundensatzvorstellung.
Wir freuen uns auf Ihre Ruckmeldung.
Sie konnen mich gerne per E-Mail unter elena.kahraman@qualysoft.com oder uber LinkedIn kontaktieren.
Vielen Dank fur Ihr Verstandnis!
+43 699 14402417

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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