EU AI Act Experts in Berlin
with precise AI matching, vetted and available freelancersHire experts who classify AI systems, map obligations and prepare governance evidence across the EU AI Act, with fast, precise matching to vetted and available freelancers for your project.
Meet FRATCH Experts in Berlin, who have recently used EU AI Act
Bidya B.
Last position:
Product Manager – Payments & Platform at Pipedrive
CRM and revenue platform managing billing and subscription workflows.
- Scaled payments infrastructure across data products, direct debit expansion and automated abuse prevention, generating $416K in annualized operational savings ($8K/week) by eliminating redundant gateway calls.
- Owned backlog and sprint execution for autonomous checkout abuse detection pipelines, designing real-time risk guardrails and velocity heuristics that blocked card testing attacks.
- Architected enterprise billing migrator user stories and data reconciliation mechanisms, achieving zero-downtime subscription state transitions and cutting $60K in infrastructure overhead.
- Expanded European direct debit (SEPA) payment capabilities, managing cross-squad API dependencies and automated webhook error-handling to eliminate checkout friction.
Yvonne S.
Last position:
AI Trainer & Consultant at Public Administration
- AI adoption project in the field of public administration
- Development of a multi-stage format for introducing AI: keynote, workshops for employees and managers, deep dives on IT and legal topics
- Coordination and content alignment with external subject-matter experts (IT + legal)
- Focus on sustainable use in everyday work instead of a one-time training session
Nikolai G.
Last position:
Clinical Data Manager at Dr. Falk Pharma
- Used OpenCode and AI-assisted software engineering to design, implement, refactor, test, and document an end-to-end RAW/SDTM/ADaM pipeline in R for Dr. Falk Pharma (07/2026), including metadata-driven transformations, automated validation rules and QC, traceability, and reproducible clinical outputs.
Jeet P.
Last position:
Global SAP Program Manager at Aldi Sued
- Pioneered first enterprise AI-SAP integration at ALDI SÃœD, deploying AI-driven automation within one of retail's largest SAP S/4HANA programs, eliminating 50% of manual pre-cycle validation time and establishing replicable automation framework across 11 countries
- Led end-to-end SAP project lifecycle management for implementations across SAP S/4HANA and Manhattan Systems, supporting 7,300+ ALDI SÃœD locations globally across Europe and Australia
- Served as primary executive liaison to C-level stakeholders across 11 countries for strategic SAP transformation programs
- Orchestrated automation, performance, and volume testing for critical releases, maintaining 99.9% system SLA compliance during peak retail periods
- Managed cross-functional international teams of 15+ specialists, delivering projects 20% faster than industry benchmarks
- Standardized SAP processes across 11 countries as part of one of retail's largest SAP implementations
- Directly managed €2M budget with 98% allocation accuracy across 12 concurrent projects
- Reduced SAP S/4HANA migration costs by 18% through strategic vendor contract renegotiations and optimization
Ottavio B.
Last position:
Semantic Test Framework for LLMs
Amogha S.
Last position:
Senior Product Manager - OS, platform, IAM at Aleph Alpha GmbH
- Leading the product lifecycle for sovereign AI platform and operating system teams for enterprise & government clients and internal stakeholders (infra, solution delivery, support, revenue)
- Built and scaled the platform from a 200-user beta to a full rollout of 70K+ members at the Bundesagentur für Arbeit (BA), secured with ISO 42001 and EU AI Act compliance
- Architected the shift to a multi-tenant shared inference, increasing GPU cluster utilization from 20% to 85% and reducing infrastructure cost-to-serve by 40% for SaaS clients
- Shipped model quantization, allowing clients to run advanced LLMs on legacy hardware (A100s GPUs) instead of the H100s, saving upwards of 70% cost per enquiry
- Abstracted complex Helm configurations into a dynamic model manager, reducing the time to install or swap models by ~80%
- Killed an expensive move to build own dashboard service, pivoting to an API-first data strategy that clients can consume directly and saving €100Ks in opex and capex
- Built a safety-first agent marketplace and control plane lighthouse project for a Tier-1 bank, allowing internal teams to deploy autonomous agents within strict regulatory guardrails
Daniel C.
Last position:
AI Engineer at EMLI GmbH
- Development and deployment of AI/ML models to support research, production, and QC processes in GxP-regulated life science environments
- Building scalable MLOps infrastructures for the production use of AI solutions in regulated areas, including cloud architectures and data pipelines
- Regulatory compliance and validation according to GAMP 5, EU AI Act, and data integrity requirements, including audit trail-compliant documentation
- Interdisciplinary project management in AI and digitalization projects: coordinating stakeholders, budget responsibility, client communication
- Data engineering and integration: analyzing diverse production data, ensuring data quality, and integration into validated systems
Agnieszka K.
Last position:
AI Ethics & Governance Consultant at Freelance
- AI Governance Expertise: Development of ethical AI standards and governance frameworks for organizations
- Responsible AI Expertise: Applying ethical impact and what-if analyses in Design Thinking workshops, bias auditing tools (IBM AIF360, Microsoft Fairlearn, Google’s What-If Tool), fairness metrics and risk management (e.g., via MIT risk repository)
- Regulations (EU, DE): Expertise on the EU AI Act, GDPR, ISO 42001, ISO 23894 and ethical standards
Katharina S.
Last position:
AI Engineer
- Designed and implemented end-to-end automated workflows for extracting structured data from semi-structured PDF documents including invoices and medical reports
- Leveraged Optical Character Recognition (OCR) technology and large language models to parse documents and generate validated JSON schemas
- Engineered prompt optimization strategies and rule-based classification hierarchies to enhance parsing accuracy across diverse document layouts
- Established quality assurance framework using evaluation metrics to validate output against ground truth datasets with 96% accuracy
Markus W.
Last position:
KRITIS Consultant at Oil Company
- Preparing an oil company for KRITIS auditing
- KRITIS consulting
- Creating necessary policies, processes, and guidelines in line with KRITIS requirements
- Tools and methodologies used: ISO/IEC 27001, BSI IT Baseline Protection, KRITIS-V
Tilman M.
Last position:
PMO Lead at Enterprise AI Governance Program
- Setting up the PMO
- Developing a KPI framework
- Implementing governance processes for over 600 users across international teams
Piet Q.
Last position:
IT Project Manager at keine Freigabe
Industry: Publishing, media Project management for the design of a RAG-based archive indexing solution: sovereign on-prem or hybrid compute architecture for LLM and embedding operations, pipeline for transcription and automatic tagging, semantic search across audio/video holdings. Use-case assessment and make-or-buy together with editorial, archive and legal departments, taking copyright law, the Interstate Broadcasting Treaty and the AI Act into account. Differentiator: practical LLM infrastructure experience from two of my own productive platforms combined with C-level program management in regulated industries.
Discover over 15,000 top freelancers
Statistics of experts using EU AI Act
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 19 years)
Position duration
1.9 years (Germany: 2.1 years)
Positions per freelancer
15 (Germany: 13)
Top business areas
Information Technology, Project Management, Product Development
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Product Development, Legal
Bachelor's degree or higher
90% (Germany: 94%)
Master's degree or higher
70% (Germany: 68%)
Doctorate
20% (Germany: 13%)
Certifications per freelancer
6
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 95%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Berlin 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 Berlin using EU AI Act
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
EU AI Act 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 (100%)
- Professional Services (75%)
- Banking and Finance (50%)
- Healthcare (42%)
- Media and Entertainment (42%)
- Retail (42%)
- Education (33%)
- Transportation (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Regulatory scope
The EU AI Act is the European Union’s framework for regulating artificial intelligence according to risk. It applies to providers, deployers, importers and distributors whose AI systems affect the European market, including some organisations based outside the EU. Its requirements cover prohibited practices, high-risk systems, transparency and general-purpose AI.
Risk classification
A sound compliance programme starts with identifying each AI system, its intended purpose and its role in the supply chain. Experts assess whether a use case is prohibited, limited risk, high risk or subject to specific transparency duties. They also separate the system’s legal classification from practical controls such as human oversight, documentation and monitoring.
- Inventory AI systems, models and providers
- Map use cases to risk categories
- Identify affected obligations and deadlines
- Record decisions and supporting evidence
Governance and evidence
EU AI Act work connects legal interpretation with technical and operational controls. Specialists help create risk-management files, technical documentation, data and model governance records, instructions for use, incident procedures and post-market monitoring plans. They may also align these materials with quality management, information security and privacy processes.
Systems and tooling
Projects often involve machine-learning models, generative AI services, chatbots, biometric applications, recruitment tools and decision-support systems. Relevant tooling can include model cards, data sheets, evaluation suites, logging, access controls, monitoring dashboards and documentation repositories. Strong delivery links these artefacts to clear ownership and repeatable review workflows.
When to bring expertise
Companies usually need freelance support when an AI inventory is incomplete, a product is entering the EU market, or an existing compliance process must become operational. Berlin teams may work with experts on site, remotely or in a hybrid setup; German and English language capability can matter when product, legal and technical stakeholders collaborate.
- Prepare an AI system inventory before launch
- Review a vendor’s obligations and documentation
- Build controls for generative AI use
- Test readiness for internal governance reviews
What strong experts deliver
Strong EU AI Act professionals translate broad requirements into decisions that product and technical teams can act on. They ask about intended use, affected people, data, model behaviour, oversight and supplier responsibilities instead of relying on labels alone. Look for structured reasoning, traceable evidence, practical documentation and the ability to explain uncertainty without overstating compliance.
Frequently asked questions
Quick answers to the questions that come up most around EU AI Act.
The EU AI Act sets obligations for organisations that develop, provide, deploy or distribute AI systems connected to the European market. It is used to classify risk, restrict prohibited practices and establish controls for transparency, documentation, human oversight, monitoring and accountability.
The EU AI Act regulates artificial intelligence according to system risk, while the GDPR focuses on personal data processing and individual rights. The two frameworks can apply to the same system, so an assessment may need to cover both AI governance and data protection rather than treating one as a substitute for the other.
A strong EU AI Act expert often combines regulatory analysis with data protection, information security, model evaluation, vendor management and product governance. Familiarity with machine-learning lifecycles, generative AI, technical documentation and audit evidence helps turn requirements into workable controls.
The right level depends on the assignment. A focused classification review may need a specialist who can interpret use cases and supply-chain roles, while an organisation-wide programme calls for experience with inventories, governance processes, documentation and coordination across technical and business teams.
Yes. EU AI Act projects are often suitable for remote or hybrid collaboration because inventories, workshops, evidence reviews and documentation can be handled digitally. On-site sessions in Berlin can still help when teams need to align product, compliance, procurement and technical stakeholders around sensitive use cases.
Yes, the EU AI Act includes provisions relevant to general-purpose AI models and generative AI systems, alongside rules that may apply to a specific downstream use case. The obligations depend on the provider’s role, the model or system’s capabilities and the way it is placed on or used in the market.
Before beginning EU AI Act work, the expert should clarify the organisation’s role, affected systems, intended purposes, EU market connection, suppliers and delivery stage. They should also agree which outputs are needed, such as a risk classification, control plan, documentation set or governance workflow.
Look for an EU AI Act professional who can connect each conclusion to a defined use case, role and piece of evidence. Quality is shown by clear assumptions, practical controls, careful treatment of uncertainty and documentation that technical, product and business teams can maintain after the engagement.
The average hourly rate of freelancers in Berlin, Germany who have used EU AI Act in their recent projects is 122 €, which corresponds to a daily rate of about 978 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used EU AI Act in their recent projects, 90% hold at least a Bachelor's degree, 70% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Berlin, Germany who have used EU AI Act in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Berlin, Germany who have used EU AI Act in their recent projects are German (100%), English (100%), and French (17%).
The most common industries among freelancers in Berlin, Germany who have used EU AI Act in their recent projects are Information Technology (100%), Professional Services (75%), and Banking and Finance (50%).
The most common business areas among freelancers in Berlin, Germany who have used EU AI Act in their recent projects are Information Technology (100%), Project Management (92%), and Product Development (67%).
Main locations of FRATCH Experts, who have recently used EU AI Act
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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Munich 
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Dusseldorf 
Dortmund 
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FRATCH CEO
