EU AI Act Experts in Berlin
for compliant AI with fast, precise matchingHire experts who classify AI systems, prepare conformity documentation and establish governance controls across the EU AI Act. FRATCH connects you with vetted, available freelancers whose experience matches your compliance needs.
Meet FRATCH Experts in Berlin, who have recently used EU AI Act
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.
Piet Q.
Last position:
IT Project Manager at no release
Industry: Publishing, media Project management for the concept of a RAG-based archive access solution: a secure on-prem or hybrid compute architecture for LLM and embedding operations, pipeline for transcription and automatic tagging, semantic search across audio and video archives. Use case evaluation and make-or-buy together with editorial team, archive, and legal department, taking into account copyright, broadcasting law, and the AI Act. Differentiator: practical LLM infrastructure experience from two own productive platforms combined with C-level program management in regulated industries.
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
Discover over 15,000 top freelancers
Statistics of experts using EU AI Act
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 18 years)
Position duration
2.1 years (Germany: 2.2 years)
Positions per freelancer
15 (Germany: 12)
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, Project Management
Bachelor's degree or higher
88% (Germany: 95%)
Master's degree or higher
63% (Germany: 67%)
Doctorate
25% (Germany: 16%)
Certifications per freelancer
6 (Germany: 5)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 95%)
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 Berlin 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 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 19 Sep 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 (80%)
- Banking and Finance (50%)
- Healthcare (40%)
- Education (30%)
- Transportation (30%)
- Manufacturing (30%)
- Media and Entertainment (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What the EU AI Act covers
The EU AI Act is the European Union’s framework for regulating artificial intelligence according to risk. It sets obligations for providers, deployers, importers and distributors of AI systems, from transparency duties to strict controls for high-risk applications. Companies use it to turn legal requirements into practical product, procurement and governance decisions.
Risk classification
A compliance programme starts by identifying every AI system, its purpose, users, data flows and role in a business process. Specialists assess whether a system is prohibited, subject to transparency rules, high risk or covered by lighter obligations. They also distinguish a regulated AI system from ordinary software that uses fixed logic, analytics or automation without AI functionality.
- Create an AI system inventory and ownership model
- Map use cases to EU AI Act risk categories
- Identify provider, deployer and supply-chain duties
- Record evidence for decisions and ongoing review
Governance and evidence
The work connects legal interpretation with operational controls. Professionals define policies for human oversight, data and technical documentation, logging, incident handling, vendor reviews and staff guidance. They may align the programme with GDPR, information security management, product safety processes and existing enterprise risk controls.
Delivery and tooling
EU AI Act projects often involve product teams, procurement, security, privacy and compliance functions. Specialists review model cards, technical files, instructions for use, contracts and conformity assessment material, then translate findings into workflows and evidence repositories. In Berlin, collaboration may combine remote work with workshops for German and international teams operating across the European market.
When to bring in specialists
Freelance expertise is useful when an organisation is launching an AI feature, buying a foundation model, preparing a regulated product or responding to a changing interpretation of its obligations. It can also close a gap between a legal assessment and implementation work.
- A product team cannot explain its AI system’s intended purpose
- Suppliers provide incomplete compliance or transparency information
- Governance duties are spread across disconnected functions
- A release needs documented risk, oversight and monitoring controls
What strong professionals bring
Strong EU AI Act professionals combine regulatory reasoning with enough technical understanding to challenge system descriptions, data claims and control designs. They ask who operates the system, what decision it influences, who can override it and what evidence proves that safeguards work. The best specialists leave behind clear ownership, reusable templates and a review process that can adapt as systems and guidance evolve.
Frequently asked questions
Quick answers to the questions that come up most around EU AI Act.
The EU AI Act helps companies classify AI systems and determine which obligations apply to each use case. A specialist can translate those obligations into inventories, governance policies, supplier checks, technical documentation and operational controls.
The EU AI Act regulates artificial intelligence by system risk, role and intended use, while GDPR focuses on the processing and protection of personal data. Projects often require both, because an AI system can create AI-specific duties and process personal data at the same time.
A strong EU AI Act specialist usually understands GDPR, information security, procurement, model risk, software delivery and technical documentation. Experience with data governance, vendor management and internal audit can be equally valuable when compliance must operate across several teams.
The EU AI Act work required depends on the systems, business role and regulatory exposure involved, not on a fixed project size. Look for evidence of completed classification work, documented controls, supplier assessments or governance implementation that matches your situation.
Yes, much of EU AI Act delivery can be handled remotely through interviews, document reviews and shared evidence repositories. On-site workshops in Berlin can help when teams need to agree on ownership, map processes or resolve differences between product, legal and compliance functions.
Ask an EU AI Act professional to explain how they would classify a concrete system and what evidence would support the decision. Strong answers connect legal duties to system architecture, operating procedures, human oversight, supplier responsibilities and review triggers rather than offering only generic policy language.
The EU AI Act can affect organisations outside the European Union when their AI systems are placed on the EU market, used in the EU or produce relevant outcomes there. A specialist should examine the organisation’s role, distribution model, users and supply chain before drawing a conclusion.
Start with an EU AI Act inventory that records each system, owner, purpose, provider, users, data and business process. Teams in Berlin and elsewhere in Germany should also agree on working language, evidence ownership and how local business units will coordinate with international product and legal functions.
The average hourly rate of freelancers in Berlin, Germany who have used EU AI Act in their recent projects is 125 €, which corresponds to a daily rate of about 1,002 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used EU AI Act in their recent projects, 88% hold at least a Bachelor's degree, 63% hold at least a Master's degree, and 25% hold a doctorate.
On average, freelancers in Berlin, Germany who have used EU AI Act 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 Berlin, Germany who have used EU AI Act in their recent projects are German (100%), English (100%), and French (20%).
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 (80%), 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 (90%), and Product Development (70%).
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.
Berlin 
Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Munich 
Cologne 
Frankfurt 
Dusseldorf Countries:
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