
Artificial Intelligence Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used Artificial Intelligence
William N.
Last position:
Power BI Solutions Architect/Engineer & AI Consultant at AVERDUNG GmbH
- Redesign of the company’s BI infrastructure: replacement of a fragmented landscape of manually maintained Excel solutions and CSV imports with a centralized Power BI environment using a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic in a central semantic model – elimination of redundant files, manual data transfers and inconsistent metrics across departments
- Forecasting & Planning: Design and implementation of company-wide liquidity planning in Power BI – from business logic to a fully automated, data-source-driven planning model replacing the previous manual Excel process; enabling rolling forecasts and continuously up-to-date cash flow transparency for management
- Optimization of existing Power BI dashboards in terms of performance, structure and analytical value using an AI-native approach
- Analysis and improvement of the data model, including data quality analyses, data cleansing and consistent modeling using Star Schema, DAX and Power Query
- Incident & Anomaly Analysis: Identification, investigation and explanation of data anomalies, including root-cause analysis and specific recommendations for action
- AI Solution Architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Development of a historical data layer as a basis for trend and time-series analyses
- AI-supported automation: Design and development of AI skills, agents, loops and processes for the automated analysis and interpretation of reports
- Automated reporting workflow: Setup of scheduled, automated email delivery of AI-generated analyses and recommendations to stakeholders
- Gathering and documentation of business requirements and coordination with business departments and IT as part of requirements engineering / product owner activities
- Breaking down overall requirements into clearly defined work packages and tasks
- Definition, prioritization and management of milestones throughout the entire project lifecycle
Tools: POWER BI, M365, Copilot Studio, MIRO, Microsoft Business Central, Microsoft Fabric, Claude AI, ChatGPT, LangDock, MS VS Code
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
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
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
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
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.
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.
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.
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
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.
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
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
Sascha B.
Last position:
Parent at Full-time Parent
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.
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)

Position duration
2.4 years (Germany: 3.1 years)

Positions per freelancer
9 (Germany: 10)

Top business areas
Information Technology, Product Development, Project Management

Top industries
Information Technology, Professional Services, Banking and Finance

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
96% (Germany: 93%)
Master's degree or higher
64%
Doctorate
8% (Germany: 10%)

Certifications per freelancer
2 (Germany: 3)

Most common languages
English, German, French

Speak two or more languages
95% (Germany: 97%)
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 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 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.
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.
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