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Large Language Model Experts in Düsseldorf

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Hire experts who design, fine-tune and integrate language models for enterprise search, conversational assistants and document automation. FRATCH connects you with precise matches among vetted, available freelancers who can join your project quickly.

Meet FRATCH Experts in Düsseldorf, who have recently used Large Language Model

Verified expert

Boris S.

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Senior Software Developer

Ratingen
Boris S.

Last position:

Generalist expert for software development at Mercor

  • Training AI models, evaluating images and text UI/UX, turning the provided data into insights through OpenAI Feather as part of the machine learning workflow

Technologies: OpenAI Feather

Verified expert

Murad K.

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Senior AI/ML Engineer

Düsseldorf
Murad K.

Last position:

Senior AI/ML Engineer at Quantistry GmbH

  • Led end-to-end delivery of ML/AI applications for the QuantistryLab simulation platform, from requirements definition and solution design to development, testing, deployment, and production support, coordinating efforts across back-end, DevOps, and ML teams
  • Designed and implemented a compound search system with an open-weights LLM, the Pydantic AI agent framework, and the Model Context Protocol (MCP), exposing it through FastAPI endpoints
  • Deployed and configured vLLM-based LLM serving on Kubernetes
  • Built CI/CD pipelines and Helm charts to automate deployments across staging and production environments
  • Instrumented the search system with OpenTelemetry spans and traces, integrating with the Honeycomb observability platform to monitor component-level latency and functional errors
  • Developed a custom evaluation dataset and implemented evaluations for retrieval relevance, answer correctness, tool-call accuracy, and end-to-end task success
  • Reduced infrared spectrum prediction time by 83% (from 60 to 10 minutes) by replacing a quantum-mechanical model with a pretrained graph neural network; fine-tuned the model using PyTorch, built and containerized the inference pipeline with Docker, and integrated it into the platform
  • Implemented an MLflow model registry with MinIO-backed artifact storage
  • Advised sales and science teams on ML/AI applications for prospective client projects, providing technical expertise to shape proposed solutions and prototypes

Technologies: AWS, Hetzner, Kubernetes, Helm, Docker, vLLM, Pydantic AI, MCP, Qwen, Llama 3, MLflow, MinIO, GitHub Actions, Python, FastAPI, OpenTelemetry, Honeycomb, PyTorch, Polars, pytest

Verified expert

Edgar P.

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Transition Manager & Business Analyst

Korschenbroich
Edgar P.

Last position:

Transition Manager & Business Analyst

The customer's own IT ticketing tool is being migrated to the central corporate tool. Critical elements are the product shop, the operational framework, the ITIL processes and asset management. It is important to ensure that the strategy for the service and support model works with the new tool, so that IT operations can continue smoothly. The next step is to develop and establish processes for the newly formed core team.

  • Current-state analysis / weakness analysis of the existing processes and tool setup
  • GAP analysis of the current and future operating and service models
  • Analysis of business needs
  • Evaluation and implementation of the identified GAPs
  • Establishment of a continuous improvement process
  • Risk management
  • Hypercare & support during operational activities
  • Establishment of processes for the newly formed core team
  • Stakeholder management
Verified expert

Julian H.

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Senior IT Project & Program Manager | 12+ Years | AI, Cloud, Data, Rollouts, Transformation

Solingen
Julian H.

Last position:

IT Project Manager AI Product for Automating Knowledge-Intensive Processes at Leading provider of large-scale catering & food services

Project: Design and implementation of an AI product for four business use cases

Project management for an AI project at a leading provider of large-scale catering and food services, where a production-ready AI product for four use cases was implemented together with an external development partner: automated briefings based on CRM and document data, voice-based capture and structuring of reports, detection and consolidation of duplicates in master data, and data-based market analyses. A key focus was a data-protection-compliant architecture that passed the internal IT security review and enabled production use.

  • Translation of business requirements into clearly defined AI use cases with a focused product scope and clear value proposition
  • Selection and evaluation of models and architecture options for text extraction, speech-to-text, and context enrichment from business systems, including LLM integration, function calling, and retrieval
  • Development and implementation of an architecture with European hosting, data minimization, and masking of personal data as a prerequisite for approval
  • Management of interfaces between business departments, IT, IT security, and the external development partner under restrictive data access conditions
  • Coordination with the CIO and executive management levels on data access, risk assessment, and approval decisions
  • Preparation for the transition to production use
Verified expert

Kai E.

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Consultant & Interim Manager

Düsseldorf
Kai E.

Last position:

CONSULTANT & INTERIM MANAGER at EHLERS Advisory

Independent Consultant

  • Advisory focus: E-Commerce, Digitalization, Automation, Pricing, Assortment & Merchandising, Platform Strategy
  • Industries: Retail & Consumer Goods
  • Subject Matter Expert for leading management consultancies
  • Ongoing executi...
Verified expert

Hassan A.

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IT Consultant

Düsseldorf
Hassan A.

Last position:

DevOps & Observability Consultant at ALDI South (Albrecht's Discount)

  • Supporting the DevOps team in Terraform-managed, multi-region AWS infrastructure to achieve environment parity.
  • Developed end-to-end CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy, automating the build and deployment.
  • Maintained pre- and post-deployment scripts to automate critical tasks such as database schema migrations and environment sanity checks.
  • Implemented CI/CD flow specifically for hotfixes via separate Git branches, managing back-merge activities from feature branches to release branches to ensure code integrity through automated conflict resolution.
  • Deployed a dedicated, lightweight sanity check application hosted cost-effectively on Azure Container Apps to run automated health and basic functional checks as a post-deployment activity triggered via pipeline.
  • Investigated production incidents through code changes and AWS CloudWatch logs.
  • Coordinated integration of Dynatrace APM and its APIs for monitoring purposes.
  • Full stack QA strategist for a high-traffic e-commerce platform built on a layered architecture for the back-end testing of core platform services, especially the order management system in Zed and Glue layers.
  • Managed automation activities, testing process, and refactoring practices.
  • Responsible for framework migrations, setup, and training for new automation frameworks.
  • Promoted a shift-left approach within the QA team and created the test concept.
  • Participated in meetings with IT managers, business owners, product owners, and team members.
  • Designed and implemented contract testing to validate API schema compatibility between the order management system and the Zed and Glue layers, reducing production-relevant breaking changes by approximately 3%.
  • Led the migration to a multi-environment framework that enabled test execution across 4 country configurations from a single codebase.
  • Integrated automated unit and functional tests directly into the GitLab CI/CD pipeline, reducing pipeline runtime by 32%.
  • Coached and trained 5 QA engineers across Germany and Hungary in test automation, framework architecture, and best practices.
  • Architected a layered backend test automation framework separating business logic, API request builders, and the database layer.
  • Piloted AI-assisted testing with Playwright Agents, the Playwright MCP Server, and GitHub Copilot for automated test generation, execution, and self-healing Playwright scripts.
Verified expert

Olaf K.

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CIO Advisor・Enterprise Architect・Transformation Project Manager・ex-BCG Platinion

Düsseldorf
Olaf K.

Last position:

CIO Advisor・IT Strategy・Tech/IT Due Diligence・Enterprise Architecture・IT Governance・AI Transformation・ex-BCG Platinion at Kiese IT

  • -- ENGLISH Version (Deutsche Version unten) ---

Experience

  • Ex-BCG Platinion: 14 years as Manager & Chief IT Architect, leading large-scale IT transformations in complex group structures
  • 20+ years of C-level consulting across AI/IT strategy, enterprise architecture, IT organization, transformation, M&A due diligence, project recovery, and interim management
  • IT leadership experience with cross-functional, intercultural teams of up to 100+ people
  • Hands-on background in software engineering, IT architecture, and project management
  • Fortune Europe 500 focus; numerous international projects; SME and start-up experience

Core services:

  • IT strategy, enterprise architecture (EAM), target architectures and roadmaps
  • PE/M&A/carve-out IT/tech due diligence, asset valuation, cost estimation
  • GenAI transformation, process automation, and AI governance
  • IT reorganization, target operating model (TOM), agile transformation
  • IT governance, development and ITSM process optimization (BizDevOps, SAFe)
  • Review and recovery of critical large-scale IT programs
  • Planning and steering of transformation programs and IT project portfolios
  • IT vendor and platform selection (RfI / RfP)
  • Coaching & Interim management

Industries (selection): Insurance, financial services & banking, energy & utilities, telecommunications, retail & consumer goods, logistics, media, industry & engineering, healthcare, professional services

Projects (selection):

  • M&A Buy-side IT/Tech Due Diligence of an Acquisition in the Energy Sector (Utility, Smart Home) — AI-augmented with Anthropic Claude

  • AI Initiative for LLM-Based Optimisation and Automation of Sales and Billing Processes

  • Interim management Enterprise Architecture & group target architecture/roadmap development (METRO)

  • Reorganization: Design and introduction of agile IT target operating model at international wholesale group (METRO)

  • Design and implementation of agile BizDevOps target operating model (E.ON Grid Solutions)

  • Platform/vendor selection for renewal of core insurance solution of start-up (ELEMENT Insurance)

  • Establishment of project assurance capability and review/recovery of critical transformation projects (ERGO)

  • Enterprise architecture management and development of divisional/solution architectures (Deutsche Post DHL)

  • Strategic pricing architecture decisions in digital sales application landscape (E.ON Energie)

  • IT due diligence: Architecture evaluation and monetary valuation of IT assets (ProSiebenSAT.1 Media)

  • Interim management of group-wide security/compliance programme (ERGO)

  • Enabling an application landscape for different sales organizations and product structures (E.ON Energie)

  • Realignment of business/IT strategy and InsurTech platform selection (RfI, RfP) (nexible, ERGO Digital Ventures)

  • Stabilization/optimization of an agile/SAFe business/IT DevOps landscape transformation (Lufthansa AirPlus)

  • Process optimization and design/management of digitization and robotics introduction in power plants (RWE Nuclear)

  • BSS target architecture development for fixed/mobile networks convergence (Deutsche Telekom)

  • Optimization of IT organization model and methodology in application development and testing (Deutsche Telekom)

  • Evaluation of fulfillment of a general contractor agreement for run-off/migration of contract portfolios (ERGO)

  • -- DEUTSCHE Version (English version above) ---

Experience

  • Ex-BCG Platinion: 14 years of strategy and implementation of large-scale IT transformations in complex corporate structures (Manager & Chief IT Architect)
  • 20+ years of C-level-adjacent IT consulting: IT strategy, enterprise architecture, IT organization, transformation, due diligence, project recovery, and interim management
  • IT leadership responsibility for cross-functional, intercultural teams of up to 100+ people
  • Solid hands-on experience in software development, IT architecture, and project management
  • Focus on Fortune Europe 500, numerous international projects; SME and start-up experience

Industries: insurance · financial services & banking · energy · telecommunications · retail & consumer goods · industry & engineering · logistics · media · healthcare

Services (focus areas):

  • IT strategy, enterprise architecture (EAM), IT landscape target visions and roadmaps
  • M&A/carve-out IT/tech due diligence, asset valuation, and cost estimation
  • GenAI transformation, process automation, and AI governance
  • IT reorganization, target operating model (TOM), agile transformation
  • IT governance, development and ITSM processes (BizDevOps, SAFe)
  • Review and recovery of critical large-scale IT projects
  • Planning/steering of transformation programs and IT project portfolios
  • IT service provider/platform selection (RfI, RfP)
  • IT project management (agile, classic, hybrid)
  • Coaching & interim management

Projects (selection):

  • M&A buyer-side IT/tech due diligence of an acquisition in the energy sector (utility, smart home) — AI-augmented with Anthropic Claude
  • AI initiative for LLM-supported optimization and automation of sales and billing processes
  • Interim management of Enterprise Architecture and development of group target architecture in wholesale (METRO)
  • Reorganization: design and introduction of an agile IT target operating model (TOM) at an international wholesale group (METRO)
  • IT reorganization: introduction of an agile BizDevOps target operating model (TOM) at an energy group (E.ON Grid Solutions)
  • Platform selection / vendor selection for renewal of the core insurance solution of a B2B2C start-up (ELEMENT Insurance)
  • Process optimization, digitalization, and introduction of robotics in power plants (RWE Nuclear)
  • Assessment of fulfillment of a general contractor agreement for run-off/migration of life insurance portfolios (ERGO)
  • Business/IT strategy and InsurTech platform selection for a digital insurer/start-up (nexible, ERGO Digital Ventures)
  • Enabling an energy application landscape for multiple sales units (E.ON Energie)
  • Strategic architecture decisions in price management of a digital sales application landscape at an energy group (E.ON Energie)
  • Stabilization/optimization of an agile DevOps IT transformation in business travel and payment management (Lufthansa AirPlus)
  • Interim management in a group-wide security and compliance program of a global insurer (ERGO)
  • Building project assurance capability as well as review and optimization/recovery of critical IT projects in an insurance group (ERGO)
  • Building enterprise architecture management and development of domain and solution architectures for a logistics group (Deutsche Post DHL)
  • M&A IT due diligence – evaluation and valuation of IT assets in the media sector (ProSiebenSAT.1 Media)
  • Development of BSS target architecture and roadmap for fixed/mobile convergence (Deutsche Telekom)
  • Optimization of IT governance/organization and methodology in application development and testing at a telecommunications group (Deutsche Telekom)
Verified expert

Saruna M.

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Master's Thesis

Duisburg
Saruna M.

Last position:

Master's Thesis at Heinrich Heine Universität

  • Title: Enhancing Syntactic Awareness in Transformer Language Models for Hindi Dependency Parsing
  • Investigated syntactic knowledge captured by transformer language models (RoBERTa, XLM-RoBERTa) for Hindi dependency parsing, a morphologically rich and low-resource language.
  • Developed structure-aware model variants (Struct_Roberta_hi, Struct_XLMR) by integrating a CNN-based parser network between transformer layers, inspired by the StructFormer architecture.
  • Conducted extensive error analysis including label-wise, distance-based, direction-based, sentence length-based, and LVC/Non-LVC evaluations.
  • Evaluated models on downstream NLP tasks (NER, POS tagging) using the IndicXTREME benchmark.
Verified expert

Abdulrahman S.

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AI Business Intelligence Analyst | AI Project Manager

Duisburg
Abdulrahman S.

Last position:

Senior Business Intelligence Analyst at ELEMENT Insurance AG

  • AI-Enabled Analytics & Reporting: Lead a 2-person BI team, applying predictive analytics and automation to translate complex business requirements into forward-looking insights, recommendations, and financial reports.
  • Advanced Data Visualization: Design and maintain 25+ high-impact Power BI/Tableau dashboards tracking company-wide KPIs and trends, structured to support predictive and automated reporting.
  • Web Analytics & Insights: Own GA4 tracking and analysis, driving a 15% increase in conversion insight through deeper customer journey analysis.
  • Data Pipeline Optimization: Partner with data engineers to redesign and automate data pipeline workflows, cutting manual reporting time by 20% while safeguarding data accuracy and system uptime.
Verified expert

Andreas G.

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Senior Fullstack Developer · .NET & Angular · AI Integration · Cloud · DevOps

Erkrath
Andreas G.

Last position:

Senior Fullstack .NET (Core) & Angular Developer at IT Service Provider

  • Supporting several agile teams in the new product development of an enterprise CRM and ERP application
  • Web frontend development with Angular 17–21 (microfrontends, Domain-Driven Design, MDB-Bootstrap)
  • Backend development with C# and .NET 7–10, MongoDB, MassTransit, RabbitMQ, Entity Framework Core, ElasticSearch (microservices, DDD)
  • Technical feature design for assigned tasks
  • Technical architecture design including forward-looking planning of AI-supported extension options
  • Proof-of-concept implementation of AI-supported workflows with n8n and a locally hosted LLM (Ollama)
  • Coordination with stakeholders and Product Owners, support with sprint planning

Result: Delivery of production-ready microservices and frontend modules in agile sprint cycles.

Environment: .NET 7–10 · Angular 17–21 · C# · TypeScript · OpenAPI · Microfrontends · DDD · Kubernetes · Docker · Helm · MS SQL Server · PostgreSQL · MongoDB · MassTransit · RabbitMQ · EF Core · ElasticSearch · Kibana · Azure DevOps · KeyCloak · n8n · Ollama

Verified expert

Peter P.

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CRM & Bid Management Project Consultant

Meerbusch
Peter P.

Last position:

CRM & Bid Management Project Consultant at Global engineering company

  • Consulting on CRM processes and features
  • AI infusion workshops to introduce AI apps for critical business processes
  • Prototyping – vibe coding with Lovable
  • Developing several apps for global bid management in a CPQ, Salesforce and SAP 4 Hana environment
  • Requirements and process management
  • Introducing a new data governance model
  • AI infusion – supporting apps and business processes with AI applications
  • Portfolio management of AI ideas: identifying and selecting AI projects in bid management
  • Prototyping AI projects with Lovable.dev
  • Building an AI data foundation in Snowflake
  • Blueprint for various business units and global rollout
  • An agile prototype-first approach using Design Thinking and vibe coding to prototype all applications
  • Presentation at a global conference on the use of AI in business and validating ideas with Design Thinking & vibe coding
  • AI infusion workshops at global conferences to prototype ideas with business stakeholders
Verified expert

Ramzi A.

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Full Stack Java Developer

Düsseldorf
Ramzi A.

Last position:

Full Stack Java Developer at ISO Public Services GmbH

  • Contributed to the development of an advanced RAG AI Chat application that integrates multiple LLM models, enabling users to seamlessly switch between models based on specific tasks. This improved the user experience by providing tailored, efficient solutions for various use cases, such as event scheduling, booking systems, and complex task management.
  • Participated in designing and implementing a robust backend architecture using Spring AI, enabling advanced AI-driven capabilities like intelligent task automation, language processing, and contextual recommendations. Leveraged Spring AI Tools and Advisors to enhance the performance and decision-making of the AI models.
  • Collaborated on the integration of vector databases to support embeddings, enhancing the app's ability to understand user queries and perform actions based on complex, real-time data inputs.
  • Contributed to the development of a seamless, user-friendly front-end interface using React with TypeScript support, ensuring a modern, responsive, and scalable user experience across platforms.
  • Assisted in implementing state management with Redux RTK for efficient data flow and real-time updates, optimizing the overall user experience in dynamic scenarios such as scheduling and task management.
  • Partnered with stakeholders to define feature requirements, helping ensure that the app could scale to meet evolving business needs and integrate with other systems like calendar and email services. Worked alongside cross-functional teams, including data scientists and UI/UX designers, to fine-tune AI models and ensure alignment with project goals.
  • Contributed to ensuring end-to-end system performance, security, and compliance by helping integrate authentication mechanisms, role-based access control, and secure communication protocols in both backend and frontend layers.

Technology Stack and Key Contributions:

  • Java / Spring Boot / Spring AI: Developed backend services leveraging Spring AI for intelligent responses, task automation, and complex workflows.
  • React / TypeScript: Built intuitive user interfaces with React and TypeScript, ensuring a smooth and scalable frontend.
  • Redux RTK: Managed application state with Redux RTK for optimized state management, enabling dynamic, real-time data updates.
  • Vector Databases: Integrated vector databases (pgVector) for embedding support, improving AI model performance in handling complex queries.
  • PostgreSQL / Redis: Managed persistent and temporary data with relational and in-memory data stores, ensuring data integrity and speed.
  • Kafka: Utilized Apache Kafka for event-driven communication and seamless integration between microservices.
  • Spring Security: Ensured the security of backend services with robust authentication and authorization mechanisms.
  • CI/CD & DevOps: Integrated continuous integration and deployment pipelines to ensure rapid and secure deployment of features and updates.
Verified expert

Ricardo M.

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Controlling - Change Management - PMI

Krefeld
Ricardo M.

Last position:

Controlling Staff Unit (CFO/Head of Controlling) at IT Security Solutions

  • Process optimization, process design
  • Business partnering, target vision
  • Teambuilding
  • Workflow design
  • Budget, MEC
  • SAP S4/Hana, Board
Verified expert

Marc S.

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Fullstack Engineer | Java & Spring Boot | Angular | System Integration

Leverkusen
Marc S.

Last position:

Fullstack Developer at PLANT-MY-TREE

PLANT-MY-TREE®-per-order

The application enables Shopify merchants to automatically place tree-planting orders for every incoming order. By integrating ecological contributions directly into the purchase process, the manual effort for tracking and billing reforestation initiatives is eliminated. The system increases transparency for end customers through real-time visualizations of the ecological impact directly in the storefront. The architecture is based on a modular monolith with Spring Boot in the backend and an integrated React app inside the Shopify admin area. The solution uses webhooks to capture order data in an event-driven way and integrates the weclapp ERP system for automated monthly invoicing. An app proxy mechanism provides dynamic statistics such as CO2 compensation and planted trees without any performance loss for the merchant shop.

Tasks:

  • Design of the modular software architecture based on Spring Modulith to ensure high maintainability
  • Development of the event-driven business logic for evaluating Shopify orders via webhooks
  • Implementation of automated invoicing by connecting the weclapp REST API
  • Building the frontend using React Router and Shopify App Bridge for native integration
  • Design of the database model and implementation of the persistence layer with JPA/Hibernate and Prisma
  • Integration of internationalization processes for global use in the frontend and email communication
  • Automation of deployment processes using Docker and GitLab CI/CD

Project skills: Java 25, Spring Boot, Spring Security, Spring Modulith, Hibernate, JPA, REST API, PostgreSQL, Maven, Liquibase, React, TypeScript, React Router, Vite, Node.js, Prisma, Zod, Docker, Docker Compose, GitLab CI/CD, Shopify CLI, Shopify App Bridge, Polaris, weclapp, i18next, Lombok, Vitest

Discover over 15,000 top freelancers

Statistics of experts using Large Language Model

Aggregated from the professional profiles of matched freelancers.

Experience

17 years (Germany: 15 years)

Large Language Model experts in Düsseldorf have 17 years of professional experience on average. It is 2 years more than in Germany, where the average stands at 15 years.

Position duration

2.1 years (Germany: 2.9 years)

Large Language Model experts in Düsseldorf stay in a single position for 2.1 years on average. It is 0.8 years less than in Germany, where the average stands at 2.9 years.

Positions per freelancer

11 (Germany: 10)

Large Language Model experts in Düsseldorf have completed 11 positions on average over the course of their careers. It is 1 more than in Germany, where the average stands at 10.

Top business areas

Information Technology, Product Development, Project Management

Large Language Model experts in Düsseldorf have gathered most of their hands-on project experience in Information Technology, Product Development, and Project Management.

Top industries

Information Technology, Retail, Banking and Finance

Large Language Model experts in Düsseldorf are most in demand in Information Technology, Retail, and Banking and Finance.

Certification focus areas

Information Technology, Project Management, Product Development

Large Language Model experts in Düsseldorf earn their certifications most often in Information Technology, Project Management, and Product Development.

Bachelor's degree or higher

100% (Germany: 95%)

100% of Large Language Model experts in Düsseldorf hold at least a Bachelor's degree. It is 5% higher than in Germany, where the rate stands at 95%.

Master's degree or higher

79% (Germany: 70%)

79% of Large Language Model experts in Düsseldorf hold at least a Master's degree. It is 9% higher than in Germany, where the rate stands at 70%.

Doctorate

11% (Germany: 13%)

11% of Large Language Model experts in Düsseldorf have a doctorate (PhD). It is 2% lower than in Germany, where the rate stands at 13%.

Certifications per freelancer

3

Large Language Model experts in Düsseldorf hold 3 professional certifications on average.

Most common languages

German, English, French

Large Language Model experts in Düsseldorf most often speak German, English, and French.

Speak two or more languages

100% (Germany: 97%)

100% of Large Language Model experts in Düsseldorf speak two or more languages. It is 3% higher than in Germany, where the rate stands at 97%.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
14% of Large Language Model experts in Düsseldorf charge less than €320 per day.
10% of Large Language Model experts in Düsseldorf charge between €320 and €480 per day.
19% of Large Language Model experts in Düsseldorf charge between €480 and €640 per day.
10% of Large Language Model experts in Düsseldorf charge between €640 and €800 per day.
14% of Large Language Model experts in Düsseldorf charge between €800 and €960 per day.
14% of Large Language Model experts in Düsseldorf charge between €960 and €1120 per day.
19% of Large Language Model experts in Düsseldorf charge €1120 or more per day.
<€320 €320-​480 €480-​640 €640-​800 €800-​960 €960-​1120 €1120+

The chart shows how the daily rates of experts in this technology in Düsseldorf are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.

Average rates of experts in Düsseldorf using Large Language Model

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 747 €
Germany avg. 768 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 760 €
Germany median 800 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

Large Language Model experts industry focus

See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.

  • Information Technology (77%)
  • Retail (64%)
  • Banking and Finance (55%)
  • Healthcare (45%)
  • Telecommunication (45%)
  • Manufacturing (36%)
  • Professional Services (36%)
  • Energy (32%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

What Large Language Models do

Large Language Models process and generate human language. They power chat interfaces, document analysis, summarisation, classification, translation and content workflows. Professionals select models, shape prompts and connect outputs to business data so applications are useful, controlled and easy to operate.

Where they are used

Companies apply language models across customer service, internal knowledge and software delivery. Typical project goals include:

  • Grounding answers in product, legal or technical documents
  • Extracting structured data from contracts, emails and reports
  • Automating support replies, research and content workflows
  • Creating assistants for sales, operations and employee services

Ecosystem and tooling

The work can involve OpenAI models, Anthropic Claude, Google Gemini, Meta Llama and open-source models hosted in private environments. Specialists also use Python, API integrations, vector databases, retrieval-augmented generation, embedding models, orchestration libraries and evaluation tools. Data pipelines, cloud services and observability complete the delivery stack.

When companies need specialists

Freelance expertise helps when a prototype must become a dependable product, when internal data needs secure retrieval, or when model responses are inconsistent. Companies also bring in professionals during model selection, prompt and workflow design, fine-tuning, migration between providers and production rollout. In Düsseldorf, collaboration may combine remote delivery with on-site workshops and clear German or English communication.

What strong professionals deliver

Strong specialists connect model capability with a precise business outcome. They define evaluation sets, test factuality and safety, manage context and token use, and document limitations. They understand access controls, data protection, latency, cost trade-offs and fallback paths rather than treating the model as a standalone feature.

How projects are run

A sound engagement starts with representative data, user journeys and acceptance criteria. The specialist maps the required architecture, builds a narrow proof of value and measures quality with repeatable tests before expanding the scope. Effective handover includes prompts, retrieval settings, monitoring, failure handling and guidance for the team that will maintain the system.

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Frequently asked questions

Everything clients usually want to know about Large Language Model, in one place.

A Large Language Model can support conversational assistants, document search, summarisation, classification, translation and structured data extraction. The right design connects the model to approved business context and defines how uncertain or unsafe responses are handled.

An LLM can interpret varied language and generate flexible responses, while traditional software provides predictable rules and search primarily retrieves matching information. Strong solutions often combine all three: software controls the workflow, search supplies evidence and the model explains or transforms it.

A strong Large Language Model specialist often works with Python, APIs, cloud infrastructure, data pipelines, vector databases and retrieval-augmented generation. They should also understand evaluation, access control, prompt design, observability and responsible handling of sensitive data.

The right level depends on risk and scope, not on the model name alone. A Large Language Model prototype may need focused integration and prompt skills, while a production system needs experience with evaluation, security, monitoring, data quality and failure recovery.

A Large Language Model project can usually be delivered remotely when data access, decision-makers and technical documentation are organised. On-site workshops can help with discovery, process mapping and adoption; teams in Düsseldorf may choose a blend of remote work and occasional in-person sessions, with German or English agreed in advance.

A reliable LLM solution is assessed against representative tasks and agreed acceptance criteria, not by impressive demonstrations alone. Review factual accuracy, citation or retrieval quality, refusal behaviour, response consistency, latency, security and how failures are exposed to users.

A Large Language Model is commonly paired with retrieval when answers must reflect changing or private source material. Fine-tuning can help with consistent style, classification or specialised behaviour, but it does not replace a reliable method for supplying current facts and controlling access to them.

An LLM professional should clarify the target users, source data, model constraints, deployment environment, quality tests and ownership of prompts and evaluation assets. It is also important to agree on privacy requirements, expected handover, access to stakeholders and how the team will monitor the system after launch.

The average hourly rate of freelancers in Dusseldorf, Germany who have used Large Language Model in their recent projects is 93 €, which corresponds to a daily rate of about 747 € based on an 8-hour working day.

Of the freelancers in Dusseldorf, Germany who have used Large Language Model in their recent projects, 100% hold at least a Bachelor's degree, 79% hold at least a Master's degree, and 11% hold a doctorate.

On average, freelancers in Dusseldorf, Germany who have used Large Language Model in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.1 years.

The most common languages among freelancers in Dusseldorf, Germany who have used Large Language Model in their recent projects are German (100%), English (100%), and French (27%).

The most common industries among freelancers in Dusseldorf, Germany who have used Large Language Model in their recent projects are Information Technology (77%), Retail (64%), and Banking and Finance (55%).

The most common business areas among freelancers in Dusseldorf, Germany who have used Large Language Model in their recent projects are Information Technology (95%), Product Development (86%), and Project Management (64%).

Main locations of FRATCH Experts, who have recently used Large Language Model

Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.

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Philipp Thomaschewski

FRATCH CEO

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