Skip to main content
🇩🇪GDPR-compliant
Build smarter products with

Artificial Intelligence Experts in Berlin

matched in minutes from over 15,000 CVs with the power of AI

Hire experts who design machine learning systems, deploy generative AI applications and connect models to reliable data pipelines. FRATCH finds the right vetted, available freelancers for your project with fast, precise AI matching.

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

Verified expert

Dariusz K.

View profile

Interim Manager Finance and Accounting

Berlin
Dariusz K.

Last position:

Interim Support Fixed Asset and Investment Accounting at HAKO GmbH

Part-time assignment since 01.09.2026.

  • Operational support for fixed asset and investment accounting
  • Support with the accounting treatment of assets under construction
  • Processing of related accounting transactions in SAP R/3

System: SAP R/3

Verified expert

Martin L.

View profile

Senior Consultant

Berlin
Martin L.

Last position:

Senior Consultant at Aucoteam GmbH

  • Development of a system for capturing, storing, and using knowledge
  • Assessment of the current status and requirements for capturing employees’ tacit knowledge
  • Creation of the appropriate taxonomy for the individual specialist areas
  • Establishment of a suitable technical architecture
  • Conducting expert interviews with the help of Artificial Intelligence (AI)
  • Concept for data backup
  • Analysis and evaluation of the approach and results
  • Incorporation of organizational changes
Verified expert

Vili D.

View profile

Senior Data Engineer, Data Architect, Software Developer

Neuenhagen
Vili D.

Last position:

Technical Lead, Data Engineer at Mercedes-Benz Consulting

  • Optimized the data architecture (Medallion) to better decouple processing steps and improve transparency and reproducibility

  • Ensured the technical quality of data processing in Databricks by introducing schema enforcement, data quality checks, and a structured data architecture

  • Pipeline orchestration with Azure Data Factory

  • Improved and automated the development and deployment process by integrating Git and GitHub Actions

  • Technical leadership of the Data Engineering team (3 employees)

  • Led workshops to optimize and stabilize the data platform and development process

  • Collected and prioritized new requests and maintained the product backlog

  • Technologies: Microsoft Azure (Data Lake, Data Factory), Databricks, Apache Spark (PySpark), Python, SQL, Git, Confluence, Power BI, Power Apps, Dataverse, MS Sharepoint, Mural

Verified expert

Paul K.

View profile

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.

View profile

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.

View profile

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.

View profile

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.

View profile

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

Nicole N.

View profile

Senior Transformation & Change Lead I Driving Strategic, Digital & Organisational Impact

Berlin
Nicole N.

Last position:

SENIOR CONSULTANT - Digital Transformation / OE & Change at init AG

  • Led and executed complex change and transformation projects, focusing on HR transformation and cultural change in public sector organisations (e.g., BAMF, bpb, DAkkS).
  • Designed and facilitated change workshops and leadership development programs to drive adoption and successful implementation of change initiatives.
  • Collaborated with executives and stakeholders to analyse requirements, define objectives, and develop tailored transformation roadmaps, including communication strategies and performance monitoring.
  • Supported business development by identifying and developing new opportunities in digital transformation initiatives.
Verified expert

Greta S.

View profile

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

Chris W.

View profile

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

Sascha B.

View profile

Fractional CPO / VP Product / Head of Product / Product Lead

Berlin
Sascha B.

Last position:

Parent at Full-time Parent

Verified expert

Joerg S.

View profile

Interim CTO/Enterprise Architect

Berlin
Joerg S.

Last position:

Various short-term CTO, Enterprise Architecture Advisory for companies at various

Support for Transformation Projects:

  • Expert CTO advisory and enterprise architecture consulting for several short-term transformation projects, ensuring measurable improvements in project outcomes and technical business alignment.
  • Supporting strategic IT initiatives for diverse clients, driving digital transformation and optimizing technology operations to increase business value and operational efficiency.
Verified expert

Alois R.

View profile

Senior Backend & Fullstack Developer

Berlin
Alois R.

Last position:

Senior Fullstack Developer at brandung GmbH

  • Opt-in RAG extension over tenant-owned data sources (SharePoint, Confluence) on existing multi-tenant enterprise AI platform
  • Architecture: ADRs, solution evaluations, permission strategy, cost modeling
  • End-to-end SharePoint and Confluence connectors: OAuth consent flows, token refresh, metadata sync, search integration
  • Permission resolution: ACL indexing at ingestion and query-time verification (document-level security)
  • Elasticsearch hybrid search (semantic + keyword) with RRF scoring
  • RAG chat with context injection and source citations
  • Stack: Elastic Cloud, Elasticsearch, Docker, Northflank, Next.js, React, TypeScript, Prisma, Microsoft Graph API, Atlassian REST API, OAuth 2.0

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

2.4 years (Germany: 3.1 years)

Artificial Intelligence experts in Berlin stay in a single position for 2.4 years on average. It is 0.7 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

64%

64% 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 29 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. 828 €
Germany avg. 835 €

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 29 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 (85%)
  • Professional Services (50%)
  • Banking and Finance (40%)
  • Education (36%)
  • Retail (35%)
  • Media and Entertainment (33%)
  • Healthcare (32%)
  • Automotive (27%)

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

About the technology

What Artificial Intelligence Covers

Artificial Intelligence enables software to perform tasks that usually require human judgment, such as recognising patterns, understanding language, generating content and making predictions. It includes machine learning, deep learning, natural language processing, computer vision, recommendation systems and generative AI. Companies use it in products, operations and decision support.

Products and Use Cases

AI specialists help turn business problems into working systems with measurable outputs.

  • Predict demand, risk, churn or equipment failure
  • Build search, recommendation and personalisation features
  • Create conversational assistants and document workflows
  • Analyse images, video, audio and natural language
  • Generate text, code, images or structured business content

Ecosystem and Tooling

The work can span Python, SQL, notebooks, cloud services and specialised model libraries. Common tools include PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, vector databases and model APIs. Strong delivery also requires data versioning, experiment tracking, orchestration, containerisation, APIs, monitoring and secure access controls.

When Companies Need Specialists

Freelance expertise is useful when a team must validate an AI idea, modernise an existing model or take a prototype into production. In Berlin, specialists may support local product, industrial, mobility, finance and media teams while collaborating remotely with international stakeholders. They can also provide focused delivery when internal data or platform skills are limited.

  • Training data is inconsistent, incomplete or hard to govern
  • A proof of concept must become a reliable production service
  • Model quality, latency or operating cost is unclear
  • Generative AI needs evaluation, guardrails and retrieval

Skills That Matter

A capable professional combines statistics, software design and practical domain understanding. They can frame the target metric, prepare data, choose an appropriate model and explain trade-offs. They also understand testing, bias checks, privacy, security, observability and human review rather than treating model output as automatically reliable.

How to Assess Quality

Look for evidence of complete delivery: a clear problem definition, traceable data, sound evaluation and an operating model that can be monitored after launch. Ask how the specialist handled poor inputs, changing data, failure cases and stakeholder feedback. The best fit communicates limits plainly and leaves behind reproducible pipelines, documented decisions and maintainable interfaces.

Published on:
FRATCH GPT

FRATCH GPT delivers freelancer proposals with clear reasoning and transparent pricing in minutes, helping your hiring department quickly and compliantly find the best talent.

Give it a try:

Try FRATCH GPT

Frequently asked questions

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

Companies use Artificial Intelligence to automate decisions, extract meaning from unstructured data and improve digital products. Typical projects include forecasting, recommendation, fraud detection, document processing, computer vision, conversational tools and content generation.

Artificial Intelligence learns patterns from data or uses trained models, while traditional automation follows rules written in advance. AI is useful when inputs are complex or variable, but rule-based software can be easier to test when the logic is stable and explicit.

A strong Artificial Intelligence specialist often combines Python, SQL, statistics, data engineering and cloud deployment skills. Depending on the project, experience with APIs, MLOps, cybersecurity, product discovery, user research or domain-specific data can be equally important.

The needed experience depends on the risk and scope of the work, not only on the model. A simple classification feature may need focused delivery, while a customer-facing generative AI system requires experience with evaluation, retrieval, monitoring, privacy and failure handling.

Yes, much Artificial Intelligence work can be completed remotely when data access, environments and decision-makers are organised. On-site sessions can still help with workshops, sensitive infrastructure or close collaboration with product and data teams in Berlin.

Before engaging an Artificial Intelligence freelancer, define the business outcome, available data, users, constraints and success criteria. Clarify access to systems and subject-matter experts, then agree how experiments, model outputs and production ownership will be reviewed.

Assess whether an Artificial Intelligence professional explains assumptions, validates data and compares the model with a sensible baseline. Ask for examples of testing, monitoring, error analysis and handover, while checking that confidential work can be discussed without exposing protected information.

Generative AI is a branch of Artificial Intelligence that produces content such as text, code, images, audio or structured responses. Projects commonly use foundation models, prompt design, retrieval-augmented generation, fine-tuning and output evaluation to make results useful and controlled.

The average hourly rate of freelancers in Berlin, Germany who have used Artificial Intelligence in their recent projects is 104 €, which corresponds to a daily rate of about 828 € 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, 64% 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 2.4 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 (85%), Professional Services (50%), and Banking and Finance (40%).

The most common business areas among freelancers in Berlin, Germany who have used Artificial Intelligence in their recent projects are Information Technology (79%), Product Development (77%), 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.

Request a free demo

Get in touch with the FRATCH team and we will get back to you within 4 hours.

Contact form

Would you rather directly get in touch?
We always have the time for a call or email!

FRATCH CEO avatar

Philipp Thomaschewski

FRATCH CEO

LinkedInFRATCH