
Artificial Intelligence Experts in Nuremberg
matched in minutes by AIHire experts who design machine learning pipelines, generative AI applications and computer vision systems, from model selection through deployment and monitoring. FRATCH matches you quickly and precisely with vetted, available freelancers for your Artificial Intelligence project.
Meet FRATCH Experts in Nuremberg, who have recently used Artificial Intelligence
Jörg K.
Last position:
Interim Project Manager at Rubix Holding Deutschland GmbH
- Rubix is Europe’s largest supplier of industrial parts and maintenance solutions (approx. 3 bn € turnover, private equity owned). Reported to the COO of the DACH subsidiary, leading a major restructuring project.
- Project Governance: Established robust governance structures (project charter, governance plan, communication structures), ensuring transparency and executive alignment.
- Logistics Restructuring: Consolidated multiple distribution centers into two central hubs, optimizing cost efficiency and service levels.
- Team Leadership: Directed a core team of 9, guiding planning and execution in a dynamic, fast-paced setting.
- Project Planning: Developed and validated a comprehensive project plan, translating high-level milestones into actionable work packages.
- Risk Management: Implemented risk register and root-cause analysis to proactively mitigate project risks.
- C-level Reporting: Presented project status and recommendations to the Steering Committee (CEO and executive board).
- Stakeholder Management: Managed alignment and engagement with diverse stakeholders in a private equity context.
- Budget Oversight: Managed a project budget exceeding 3 million €.
- Effective project governance and clear communication are essential for stakeholder alignment and successful transformation.
Maciej S.
Last position:
Product Owner at Bundesagentur für Arbeit
- As part of the project, the further development of the identity management system was driven forward. This included a comprehensive refactoring of the interfaces to the connected target systems. In addition, several special systems were successfully connected to the IAM to ensure end-to-end identity and authorization management.
- Technical design and solution proposals for IAM system development
- Requirements analysis and requirements management (IREB, BABOK)
- Alignment of the strategy with the future target architecture (TOGAF)
- Prototyping of solutions
- Documentation of requirements (Innovator)
- Analysis and documentation of requirements and creation of process models (UML, BPMN, ArchiMate)
- Modeling of requirements and system functionalities (OOA/OOD, UML)
- Further development of interfaces (SOAP, REST)
- Carrying out architecture reviews
Sabine L.
Last position:
Communications consultant for crisis communication/issue management at AQIM – Association for Quality in Interim Management
Planning, execution & moderation of crisis communication and reputation management
AQIM is a non-profit organization based in Austria. An association of interim managers from Germany and Austria. Founded in December 2024. Multi-part training with workshops and consulting for preventive crisis communication, in cooperation with the founding members and those responsible for communication. To assess crisis potential for the market entry strategy and ahead of a digital campaign.
The project in a nutshell:
Consulting and training for the purpose of:
- Analysis of crisis potential as a new market entrant and its internet-based communication activities
- Planning and developing crisis communication with targeted measures
- Developing a crisis plan to minimize reputation risks in an emergency
- Conducting training and information sessions
Success:
- What started as a one-time consulting event for preparing an information campaign became a multi-part workshop on preventive crisis communication. This not only gave the organization expertise and confidence in the event of acute challenges, but also gave the participating interim managers new skills for their day-to-day work on assignments
- The workshop enabled those responsible to launch the information campaign that was being prepared at the time and planned for six months, as scheduled at the end of January 2026 on social media
- Careful scheduling and defining how to handle critical voices in terms of terminology and tone, as well as compliance rules, ensured a smooth start and run of a 3-month information campaign
Oleg O.
Last position:
Senior Software Developer / BI Integration Developer Power BI, C# at Telecommunications
Embedded Analytics & AI-assisted BI
Design and development of an integrated analytics solution based on ASP.NET Core, Power BI Embedded, and LLM services to provide context-based business information.
Development of an AI agent with Function/Tool Calling for the secure orchestration of REST APIs, SQL data sources, and technical services within defined business processes.
Building automated BI workflows including workspace management, deployment processes, and scheduled refresh via the Power BI REST API.
Implementation of secure service-to-service communication with Microsoft Entra ID and Service Principal, and integration into existing enterprise system landscapes.
Technologies: ASP.NET Core, C#/.NET, Power BI Embedded, Power BI REST API, LLM API, AI Agents, Function/Tool Calling, Entra ID
Stefan R.
Last position:
Business Analyst at Galeria
Independently managed the POS tender process for food service operations in department stores.
Structured requirements gathering, both functional and technical.
Created a management-ready specification as a basis for decision-making by management and IT.
Market overview of relevant POS providers.
Close coordination with Galeria's IT and business departments.
Jan M.
Last position:
Managing Director at Nexcent GmbH
- IT consulting
- Power Platform & Databricks
- AI software development (custom software)
- Commercial responsibility for the company
David O.
Last position:
Research Intern at Pattern Recognition Lab
- Spearheaded the integration of a custom Transformer-based encoder into the AFFGANwriting pipeline, replacing the legacy VGG19 architecture to capture richer, high-fidelity writer-style representations.
- Boosted user-study pick-rates by 40%, demonstrating a significant leap in the perceptual quality and realism of the generated handwriting compared to the baseline model.
- Enhanced OCR performance by 20% by implementing a teacher-student framework that leveraged a TrOCR benchmark model for auxiliary training alignment
Jozsef F.
Last position:
Project Management for the Installation and Commissioning of Robotics and Automation Systems at Amazon
- Managing projects on site
- Coordinating various stakeholders (Operations, IT, Maintenance, suppliers, service providers)
- Leading technicians and external contractors
- Planning resources, schedules, and budgets
- Quality, risk, and safety management
- Conducting daily status meetings
- Escalation management and problem-solving
- Maintaining project tracking, ticket systems, and KPI dashboards
- Materials and spare parts management
- Preparing reports and project status updates
Environment: Infrastructure, Logistics
Partha N.
Last position:
AI Software Developer at Fraunhofer IIS
- Built a custom AI chatbot for an e-commerce client using GPT-4 and LangChain with RAG, reducing customer support ticket volume by 45% and improving response accuracy to 92%.
- Designed and deployed an intelligent document processing system using LlamaIndex, Pinecone, and FastAPI for a FinTech startup, enabling semantic search across 100K+ financial documents.
- Developed multi-agent AI workflows using CrewAI and LangGraph for a marketing agency, automating lead research, content generation, and outreach — saving 20+ hours/week of manual work.
- Created AI-powered automation pipelines using n8n, Make, and Zapier integrated with CRMs (GoHighLevel, HubSpot), reducing manual data entry by 80% for a real estate firm.
- Delivered prompt engineering and LLM fine-tuning consulting for multiple clients, optimizing AI model outputs for customer support, content creation, and data extraction use cases.
- Built production-ready REST APIs with Python and FastAPI to serve AI models on AWS and GCP, handling 10K+ daily requests with 99.9% uptime.
Nikolaus H.
Last position:
Project Lead ‘New P2P Solution for Indirect Material’ at Yunex Traffic GmbH
Project Lead ‘New P2P Solution for Indirect Material’
Objective: Implement a new state-of-the-art P2P platform for indirect materials and integrate it with existing systems to improve efficiency, deliver cost savings, and enhance user satisfaction.
Project Lead for Phase 1: Design and evaluate future P2P process & platform
Project steps:
- P2P As-Is Analysis
- Define To-Be P2P Process
- Requirements for RFI
- RFP / Provider Evaluation
- Fit-Gap Analysis
- Business Case
Birgit M.
Last position:
Database builder at mr-directory.com
- Building the world's largest database of market research service providers and survey platforms ([link]
Leif S.
Last position:
Software Architect at QualityMinds GmbH
- Lead software architect and technical team lead for a new logistics platform for load carrier trade
- Core design of software architecture using arc42 spanning frontend, backend, delivery strategies and cloud native infrastructure with Domain Driven Design and Hexagonal Architecture
- Evaluation of initial business requirements and software development roadmap
- Technical team lead in a Scrum team of 9 people
- Introduced and strengthened AI-assisted (JetBrains AI & GitHub Copilot) and collaborative code development strategies to speed up feature development
Onur D.
Last position:
Co-Founder at tickitaka
- Live ticker SaaS platform for Football and Ice Hockey
Marcus R.
Last position:
AI Alchemist
- AI forensics
- AI output audits
- Concept decoding
- Narrative reframing
- Hypothesis stress testing
- AI behavior and bias analysis
- Integrating artificial intelligence as a living collaborator inside real workflows to turn raw potential into applied intelligence
- Combining human judgment with machine capability to make work clearer, faster, and wiser
Arun Sai T.
Last position:
AI-Backend Developer Intern at Calvergy UA
- Integrated complex AI-based energy system models into the frontend framework, enabling the visualization of insights for 6+ key clients and maximizing energy utilization.
- Maximized energy efficiency and utilization by architecting the seamless data flow between AI models and the user interface for rapid, actionable reporting.
Discover over 15,000 top freelancers
Statistics of experts using Artificial Intelligence
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 18 years)

Position duration
3.7 years (Germany: 3.1 years)

Positions per freelancer
9 (Germany: 10)

Top business areas
Information Technology, Product Development, Research and Development

Top industries
Information Technology, Manufacturing, Professional Services

Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
95% (Germany: 93%)
Master's degree or higher
78% (Germany: 64%)
Doctorate
16% (Germany: 11%)

Certifications per freelancer
2 (Germany: 3)

Most common languages
German, English, French

Speak two or more languages
98% (Germany: 97%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Nuremberg are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Nuremberg using Artificial Intelligence
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Artificial Intelligence 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 (86%)
- Manufacturing (45%)
- Professional Services (43%)
- Automotive (36%)
- Education (33%)
- Banking and Finance (29%)
- Healthcare (26%)
- Retail (26%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Artificial Intelligence does
Artificial Intelligence enables software to interpret data, recognise patterns, generate content and support decisions. It covers machine learning, deep learning, natural language processing, computer vision and generative AI. Companies use it in products, operations and customer-facing services where rules alone are not enough.
Solutions it supports
AI specialists turn business needs into working systems across many domains:
- Forecasting demand, risk and equipment failures
- Classifying documents, images, audio and customer requests
- Building recommendation, search and personalisation features
- Creating conversational assistants and retrieval-based applications
- Automating quality checks and process decisions
The right approach depends on data quality, response times, explainability and the cost of errors.
Ecosystem and tooling
Work often combines Python with frameworks such as PyTorch, TensorFlow or scikit-learn. Specialists may use Hugging Face, vector databases, cloud AI services and orchestration tools for model development and retrieval workflows. Production work also involves APIs, containers, data warehouses, experiment tracking, model registries and monitoring.
When companies need specialists
Freelance expertise helps when a team must validate an AI use case, extend an existing data platform or move a prototype into reliable production. It is especially valuable when internal teams lack experience with training data, evaluation, model serving or responsible deployment. In Nuremberg, collaboration may combine remote delivery with on-site workshops, depending on access, language and stakeholder needs.
Typical deliverables
A project can include a data assessment, feature pipeline, trained model, prompt and retrieval design, evaluation suite or inference API. Strong delivery also covers documentation, reproducible experiments, access controls and a rollout plan. For regulated or customer-facing use cases, specialists define human review, traceability and fallback paths before release.
Signs of strong expertise
Look for professionals who connect model choices to measurable product needs rather than treating AI as a standalone feature. They should explain data limitations, baseline comparisons and failure modes in clear terms. Relevant evidence includes:
- A reproducible training and evaluation process
- Practical experience with deployment and monitoring
- Secure handling of sensitive or proprietary data
- Clear communication with product, data and domain teams
- A plan for maintaining model quality as inputs change
Frequently asked questions
Curious about Artificial Intelligence? Here are the answers that come up again and again.
Artificial Intelligence is used for forecasting, document processing, search, recommendations, customer support, fraud detection and quality inspection. The strongest projects connect a specific business decision or workflow to suitable data and an evaluation method.
Artificial Intelligence learns patterns from examples or uses trained models to generate outputs, while conventional software follows rules written directly by people. Many effective systems combine both approaches, using deterministic controls around a model-based component.
Artificial Intelligence is appropriate when prediction, classification, language or perception is central to the solution. Adjacent expertise in data engineering, product design, cloud infrastructure and process automation is often needed to make the result reliable in daily operations.
A strong Artificial Intelligence freelancer should show relevant work with data preparation, model evaluation and production delivery. The required depth depends on the project: a proof of concept needs a different profile from a monitored system handling sensitive decisions.
Artificial Intelligence work is often well suited to remote collaboration because data, code and cloud environments can be shared securely. On-site sessions in Nuremberg can still help with discovery, access decisions and workshops involving business or domain teams.
Before engaging an Artificial Intelligence specialist, define the target outcome, available data, decision owner, acceptable error types and integration constraints. Also clarify privacy requirements, human review and how performance will be monitored after launch.
Assess whether the Artificial Intelligence professional can explain baselines, data gaps, model limits and failure cases without hiding behind technical language. Ask for evidence of reproducible experiments, sensible evaluation and responsible deployment rather than a polished prototype alone.
Artificial Intelligence projects commonly involve Python, SQL, cloud services, APIs, data pipelines, containers and monitoring. Depending on the use case, useful adjacent skills include PyTorch, TensorFlow, scikit-learn, Hugging Face, vector search, MLOps and information security.
The average hourly rate of freelancers in Nuremberg, Germany who have used Artificial Intelligence in their recent projects is 90 €, which corresponds to a daily rate of about 724 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used Artificial Intelligence in their recent projects, 95% hold at least a Bachelor's degree, 78% hold at least a Master's degree, and 16% hold a doctorate.
On average, freelancers in Nuremberg, Germany who have used Artificial Intelligence in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 3.7 years.
The most common languages among freelancers in Nuremberg, Germany who have used Artificial Intelligence in their recent projects are German (98%), English (98%), and French (14%).
The most common industries among freelancers in Nuremberg, Germany who have used Artificial Intelligence in their recent projects are Information Technology (86%), Manufacturing (45%), and Professional Services (43%).
The most common business areas among freelancers in Nuremberg, Germany who have used Artificial Intelligence in their recent projects are Information Technology (88%), Product Development (74%), and Research and Development (62%).
Main locations of FRATCH Experts, who have recently used Artificial Intelligence
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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