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Artificial Intelligence Experts in Berlin

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Meet FRATCH Experts in Berlin, who have recently used Artificial Intelligence

Verified expert

Paul K.

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Program Manager – Multi-Project Operational Stabilization (Operational Excellence)

Berlin
Paul K.

Last position:

Program Manager – Multi-Project Operational Stabilization (Operational Excellence) at ITDZ - IT Service Center Berlin

  • Overall leadership of several strategic operations projects focusing on Workplace Services, SLA Framework, access management, certificate management, e-learning, backup & recovery, test management, and capacity management, as well as the introduction of system monitoring and feasibility studies for 24x7 operations, in some cases including implementation in ServiceNow
  • Creation of various ServiceNow operating concepts covering training, access rights, and emergency management as part of a new cloud hosting initiative for the ServiceNow platform
  • Executive board reports and leadership of steering committees as part of company-wide strategic objectives, as well as the establishment of new balanced scorecards for measuring KPIs related to optimization-driven project results
Verified expert

Fred K.

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Interim Executive Manager | CRO · COO · SVP | Defence, Cybersecurity and Digital Restructuring of Safety-Critical Operations

Glienicke/Nordbahn
Fred K.

Last position:

Project Manager Digital Restructuring at Northrop Grumman LITEF GmbH

Assignment focus: Leading digital restructuring in a highly regulated Defence and Aerospace environment. Focus areas: improving data flows and data quality, introducing paperless data collection in production, integrating machine data for automatic SPC calculation and process control, as well as cybersecurity analyses.

Main objectives:

  • Analyze, structure and improve data flows and data quality in production
  • Introduce paperless data collection in manufacturing areas
  • Integrate machine data for automatic SPC data calculation and process control
  • Implement digital restructuring while meeting regulatory requirements in the Defence environment

Measures and results:

  • Analyzed and structured existing production data flows as a basis for control and reporting
  • Established mechanisms to ensure data quality and availability across manufacturing areas
  • Introduced paperless data collection in production — replacing manual and paper-based processes
  • Integrated machine data for automatic SPC data calculation (control charts, Cp/Cpk) and real-time process control
  • Conducted cybersecurity analyses in the production and IT environments

Area of responsibility: Project management for digital restructuring, paperless production, data management and data quality in a highly regulated Defence and Aerospace environment.

Verified expert

Silvia B.

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Fractional VP Sales & RevOps | Executive Coach | B2B SaaS & Enterprise Software | DACH & EMEA | North America

Berlin
Silvia B.

Last position:

Fractional VP Sales, Executive Sales Coach & GTM Advisor, AI Transformation Management at Self-employed

  • Advise B2B technology and mid-market companies on commercial strategy, sales effectiveness, operating model design, and scalable growth.
  • Coach senior sales leaders and executive teams on GTM choices, leadership effectiveness, accountability, and execution.
  • Support market entry and growth planning through structured assessment of customer segments, value propositions, channel options, coverage models, investment priorities, KPIs, and risks.
  • Facilitate peer-level strategy sparring and translate strategic decisions into measurable commercial initiatives.
  • Combine systemic coaching, sales leadership experience, and change management practice to ensure decisions are practical and adopted.
Verified expert

Stefan O.

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AI Product Leader

Berlin
Stefan O.

Last position:

Founder at ProtocolEngine.io

Evidence-led health intelligence platform turning published research into personal health protocols. It scores 430 habits, foods, and supplements against the studies behind them, and moves the score when the evidence moves. Built solo.

  • Built the daily ingestion pipeline across PubMed, bioRxiv, and medRxiv: 43,000+ papers from 3,400+ journals processed into 230,000+ typed evidence claims, each one traceable back to the study it came from.
  • Designed the six-factor evidence scoring model and the public changelog behind it, so no recommendation ever appears without the papers underneath it. 23,000+ grade changes recorded and explained to date.
  • Shipped an entity information model connecting every intervention to its mechanisms, biomarkers, and outcomes: 118 biomarkers with region-specific reference ranges, 77 mechanisms, 32 graded outcomes.
  • Built the personalisation layer: blood panel ingestion that reads lab PDFs with a vision model and corrects results for draw time against the user's wake anchor, plus Oura, WHOOP, and Withings integration for daily readiness context.
  • Operate eleven specialised review agents over the corpus and codebase, covering paper curation, retrieval quality, health-claim compliance across EU and US regimes, and security.
  • Shipped the Evidence Assistant, a RAG assistant that answers from the claim database and cites the underlying papers, plus a B2B practitioner tier, an Expo React Native app, and localisation across 3 languages and 7 markets.

Stack: Next.js 16, TypeScript, Supabase, pgvector, Anthropic Claude, Vercel, DeepInfra.

Verified expert

Sascha B.

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Frontend / UX Engineer

Berlin
Sascha B.

Last position:

Web Developer at GxPlex

  • Built a customized MediaWiki instance, including installation, MySQL database, SSL, and automatic backups
  • Set up user roles (Admin, Mod, Verified, User) and a permissions system
  • FlaggedRevisions for editorial review workflows · Commenting and rating extensions
Verified expert

Greta S.

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Product & Program Management | Strategy | Transformation & AI Adoption | Cross-Functional Leaders

Berlin
Greta S.

Last position:

Project Lead for a transformation consulting project in Saudi Arabia at Government Ministry

Led a six-person multidisciplinary team delivering an 18-month organizational transformation program. Designed governance and decision-making structures, roles and responsibilities, capability- and knowledge-building approaches, learning interventions, and communication and implementation plans, and supported their execution to embed new ways of working across the ministry.

  • Led a six-person multidisciplinary team delivering an 18-month organizational transformation program
  • Designed governance, decision-making structures, roles and responsibilities
  • Developed capability- and knowledge-building approaches and learning interventions
  • Created communication and implementation plans
  • Supported execution to embed new ways of working across the ministry
Verified expert

Marcus B.

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Senior Transformation and Program Lead

Berlin
Marcus B.

Last position:

Senior PMO Lead / Transformation Office Consultant at International Family-Owned Company

International Family-Owned Company | Revenue of more than 1 billion EUR | CONFIDENTIAL

  • Established and operationalized a company-wide PMO; took over the initial management function during ongoing operations.
  • Structured a portfolio of more than 15 strategic transformation initiatives across several countries and functions.
  • Designed project intake, decision levels, responsibilities and regular steering meetings; management reporting as well as risk and dependency management.
  • Established the PMO environment with Microsoft 365, Planner Premium, Teams, SharePoint and Forms; planned reporting and prepared the structured handover to an internal PMO organization.
Verified expert

Chris W.

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IT PROJECT MANAGEMENT | PROGRAM MANAGEMENT | STRATEGY CONSULTING

Berlin
Chris W.

Last position:

Senior Strategy Advisor, Transformation Lead – program realignment with target picture, governance, and priority steering at Sparkassen-Finanzgruppe | S-Communication Services

In-house consulting provider and driver of transformation within the group, multi-stakeholder environment and C-level.

Realignment and stabilization of a cross-functional transformation and scaling program within the group. Sharpening the target picture, priorities, and set of measures, as well as building reliable governance, planning, and steering structures. Structuring roles, responsibilities, and strategic initiatives while including AI and IT automation ideas.

  • Designed program realignment and project portfolio management

  • Developed strategy model and target picture for IT projects

  • Structured portfolio, roadmap, and priorities

  • Established governance and regular meetings

  • Worked out operating model for flagship projects

  • Assessed AI and automation ideas

  • Clarified roles and responsibilities

  • Implemented change measures

  • Developed, moderated, and evaluated workshops

  • Transformed 17 initiatives into a steering model

  • Increased transparency and decision-making ability

  • Strengthened commitment in steering

  • Sharpened the operating model structurally

  • Integrated three top-5 institutes

  • Involved over 80% of stakeholders

  • Governance

  • Portfolio steering (PPM)

  • Change management

  • Artificial intelligence

  • Workflow automation

  • AI use case assessment

  • Confluence

  • Jira

  • Stakeholder management

Verified expert

Chintan P.

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Product Owner and Technical Product Lead

Berlin
Chintan P.

Last position:

Product Owner and Technical Product Lead at Sustamize GmbH

  • LLM-based features for automated CO₂e data extraction from unstructured documents (70% reduction)

  • Agentic AI pipeline for automated Scope 3 emissions calculations with 150.000+ validated data records

  • Intelligent API workflows for real-time carbon footprint calculations in ERP and ESG systems

  • ML algorithms for predicting emissions hotspots and optimizing product design

  • Automated data validation pipelines with NLP for quality assurance of CO₂e datasets

  • Led a 15-person cross-functional team in developing 10+ AI features

  • Strategic product planning and AI roadmap with 35% shorter time-to-market

  • Stakeholder management with DAX companies (40% higher satisfaction, 95% retention)

  • On-time project delivery with 95% budget adherence through data-driven backlog management

  • Agile methods (Scrum, Kanban) with continuous AI/ML integration (25% increase in team velocity)

  • Product-market fit for AI features through A/B testing and analytics (60% higher adoption rate)

Verified expert

Dmitry P.

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Freelance Digital Marketing Analyst

Berlin
Dmitry P.

Last position:

Freelance Digital Marketing Analyst at Freelance

  • Marketing Strategy: Lead the end-to-end analysis and evaluation of cross-channel marketing campaigns across the entire Customer Journey. My focus is identifying optimization potential and deriving clear, actionable recommendations that drive measurable business impact.
  • Data Science & AI: Advanced predictive modeling (Churn, LTV), market basket analysis, clustering, and real-time AI-powered audience discovery utilizing RAG/LLMs.
  • Marketing Analytics & Measurement: End-to-end attribution analysis, Marketing Mix Modeling (MMM), audience segmentation, conversion path analysis, and A/B testing across all major platforms.
  • Data Engineering & Reporting: Designing and managing robust, multi-platform data pipelines (BigQuery, GCP) for data consolidation, automated dashboard generation, and critical API integrations.
Verified expert

Inka S.

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People & Culture | Recruiting | Employee Development | Organizational Development

Berlin
Inka S.

Last position:

Freelance Recruiter & HR Operations at D-LABS GmbH

  • Independently managing recruiting for design, research, and freelancer positions
  • Successfully filling three key positions in UX Design and User Research in close collaboration with the hiring managers
  • Further developing recruiting processes and optimizing the candidate experience
  • Developing standardized recruiting templates, HR documentation, and process guides
Verified expert

Franziska N.

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Senior Human Resources Interim Manager - Transformation & Change

Berlin
Franziska N.

Last position:

Strategic and Operational Business Partnering & Project Management | Organizational Transformation

  • Further development and harmonization of cross-site HR structures and processes to increase efficiency and governance in close, ongoing collaboration with the (Group) Works Council.
  • Management of the HR transformation during the change of ownership and realignment of the holding structures, generating annual savings of around €1.5 million
  • Strategic development and restructuring of the Finance function with the CFO, establishment of a performance culture and optimization of structures and processes with a positive P&L impact.
  • Realignment of Talent Acquisition, reducing time-to-hire from 7 months to 8 weeks, optimizing the cost and supplier structure, and introducing data-based management
Verified expert

Viliana H.

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Freelance Project Manager | Digital Transformation | AI and Change

Berlin
Viliana H.

Last position:

Trainee in Insurance Management at Allianz Deutschland AG

Worked across several departments with a focus on AI implementation, change, strategic projects, and leadership development.

  • Implemented AI initiatives and change management projects.
  • Supported strategic analyses and prepared decision-making materials for top management.
  • Prepared and facilitated leadership meetings and offsites.
  • Developed controlling solutions with Excel for structured management and analysis.
Verified expert

Bidya B.

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Senior Product Owner - Agentic AI & Intelligent Platforms | Fintech, SaaS, Risk & Ecommerce

Berlin
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.

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)

Artificial Intelligence experts in Berlin have 16 years of professional experience on average. It is 2 years less than in Germany, where the average stands at 18 years.

Position duration

2.5 years (Germany: 3.1 years)

Artificial Intelligence experts in Berlin stay in a single position for 2.5 years on average. It is 0.6 years less than in Germany, where the average stands at 3.1 years.

Positions per freelancer

9 (Germany: 10)

Artificial Intelligence experts in Berlin have completed 9 positions on average over the course of their careers. It is 1 fewer than in Germany, where the average stands at 10.

Top business areas

Information Technology, Product Development, Project Management

Artificial Intelligence experts in Berlin have gathered most of their hands-on project experience in Information Technology, Product Development, and Project Management.

Top industries

Information Technology, Professional Services, Banking and Finance

Artificial Intelligence experts in Berlin are most in demand in Information Technology, Professional Services, and Banking and Finance.

Certification focus areas

Information Technology, Product Development, Project Management

Artificial Intelligence experts in Berlin earn their certifications most often in Information Technology, Product Development, and Project Management.

Bachelor's degree or higher

96% (Germany: 93%)

96% of Artificial Intelligence experts in Berlin hold at least a Bachelor's degree. It is 3% higher than in Germany, where the rate stands at 93%.

Master's degree or higher

63%

63% of Artificial Intelligence experts in Berlin hold at least a Master's degree.

Doctorate

8% (Germany: 10%)

8% of Artificial Intelligence experts in Berlin have a doctorate (PhD). It is 2% lower than in Germany, where the rate stands at 10%.

Certifications per freelancer

2 (Germany: 3)

Artificial Intelligence experts in Berlin hold 2 professional certifications on average. It is 1 fewer than in Germany, where the average stands at 3.

Most common languages

English, German, French

Artificial Intelligence experts in Berlin most often speak English, German, and French.

Speak two or more languages

95% (Germany: 97%)

95% of Artificial Intelligence experts in Berlin speak two or more languages. It is 2% lower than in Germany, where the rate stands at 97%.

Based on our profile pool as of 9 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
7% of Artificial Intelligence experts in Berlin charge less than €400 per day.
35% of Artificial Intelligence experts in Berlin charge between €400 and €800 per day.
38% of Artificial Intelligence experts in Berlin charge between €800 and €1200 per day.
15% of Artificial Intelligence experts in Berlin charge between €1200 and €1600 per day.
5% of Artificial Intelligence experts in Berlin charge €1600 or more per day.
<€400 €400-​800 €800-​1200 €1200-​1600 €1600+

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 Artificial Intelligence

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

1000
750
500
250
Rate comparison chart
Daily rate avg. 826 €
Germany avg. 837 €

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 800 €
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 9 Oct 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%)
  • Professional Services (51%)
  • Banking and Finance (39%)
  • Education (37%)
  • Retail (36%)
  • Media and Entertainment (33%)
  • Healthcare (31%)
  • Automotive (28%)

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

About the technology

What Artificial Intelligence delivers

Artificial Intelligence enables software to interpret data, recognize patterns, generate content and support decisions. Companies use it for recommendation systems, conversational interfaces, document processing, forecasting, fraud detection and autonomous workflows. Projects may combine predictive models with generative AI, natural language processing or computer vision.

Models and applications

  • Train and evaluate supervised, unsupervised and deep learning models
  • Build retrieval-augmented generation and conversational systems
  • Extract meaning from text, images, audio and video
  • Add classification, forecasting or recommendation features to products
  • Connect models to APIs, databases and internal workflows

The right approach depends on the data, risk, latency and level of human oversight required. Strong specialists choose practical model architectures instead of adding AI where a simpler rule-based solution is more reliable.

Ecosystem and tooling

Artificial Intelligence work often includes Python, PyTorch, TensorFlow, scikit-learn, Hugging Face and vector databases. Specialists may also use cloud services, model APIs, notebooks, data pipelines, Docker and Kubernetes for deployment. They establish evaluation sets, prompt or fine-tuning workflows, monitoring and version control so models remain useful after launch.

When companies need expertise

Companies bring in freelance professionals when they need to validate an AI use case, turn a prototype into a dependable product or improve an existing model. A specialist can also assess data quality, select an appropriate model provider and set up an operating process for experiments and releases. In Berlin, local teams may benefit from on-site workshops alongside remote delivery across product, data and engineering functions.

Reliable production systems

Good Artificial Intelligence work is measurable, explainable where necessary and designed around real user needs. Experienced professionals define success criteria, test for bias and failure cases, protect sensitive data and document limitations. They also plan for inference costs, response time, fallback behavior and monitoring rather than stopping at a convincing demo.

Choosing the right professional

Look for evidence of a complete delivery cycle: problem framing, data preparation, model selection, evaluation, integration and production support. Ask how the specialist handles weak data, changing inputs and uncertain model output. Language expectations matter for text systems, especially when a Berlin project serves German-speaking users; domain knowledge and clear communication are just as important as framework familiarity.

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Frequently asked questions

Not sure where to start with Artificial Intelligence? These answers cover the essentials.

Artificial Intelligence is used for systems that classify information, predict outcomes, understand language, interpret images or generate text and other media. Common deliverables include recommendation features, support assistants, document extraction, forecasting tools and workflow automation.

Artificial Intelligence learns patterns from data or uses trained models to handle inputs that are difficult to describe with fixed rules. Traditional automation follows explicit instructions, while AI is useful when interpretation, prediction or generation is required. Many reliable products combine both approaches.

A strong Artificial Intelligence specialist often combines Python, statistics, data engineering, cloud deployment and software integration skills. Experience with model evaluation, data privacy, prompt design, vector search or MLOps can be important depending on the project.

The required experience depends on the risk and complexity of the use case, not simply on the model selected. A proof of concept may need focused experimentation, while a customer-facing Artificial Intelligence system requires production integration, monitoring, security controls and a plan for unreliable output.

Yes. Artificial Intelligence projects can be delivered remotely when data access, decision ownership and evaluation criteria are clear. On-site workshops in Berlin can help align product, data and compliance stakeholders, while regular remote sessions support implementation. German-language capability may matter when the system processes local customer or business content.

Ask the Artificial Intelligence specialist to explain the problem definition, data assumptions, evaluation method and failure handling in plain language. Review a relevant delivery example and check whether they measured real user outcomes rather than presenting only a model demo.

Generative AI is suited to producing or transforming content, such as drafts, summaries, answers and structured text from documents. Predictive models are usually a better fit for scoring, classification or forecasting. The choice should follow the desired output, data quality and tolerance for incorrect results.

Before engaging an Artificial Intelligence professional, define the business decision or user task, available data, success measures and required integrations. Also clarify access permissions, human review, deployment ownership and how the system will be monitored after release.

The average hourly rate of freelancers in Berlin, Germany who have used Artificial Intelligence in their recent projects is 103 €, which corresponds to a daily rate of about 826 € based on an 8-hour working day.

Of the freelancers in Berlin, Germany who have used Artificial Intelligence in their recent projects, 96% hold at least a Bachelor's degree, 63% hold at least a Master's degree, and 8% hold a doctorate.

On average, freelancers in Berlin, Germany who have used Artificial Intelligence in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.5 years.

The most common languages among freelancers in Berlin, Germany who have used Artificial Intelligence in their recent projects are English (98%), German (95%), and French (18%).

The most common industries among freelancers in Berlin, Germany who have used Artificial Intelligence in their recent projects are Information Technology (86%), Professional Services (51%), and Banking and Finance (39%).

The most common business areas among freelancers in Berlin, Germany who have used Artificial Intelligence in their recent projects are Information Technology (78%), Product Development (78%), and Project Management (59%).

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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