
Artificial Intelligence Experts
from over 15,000 CVs, matched quickly with the power of AIHire experts who design machine learning models, build generative AI applications and integrate intelligent automation into business systems. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts who have recently used Artificial Intelligence
Alwin G.
Last position:
IT Interim Manager & AI Strategist
- Founder of CheironX: AI-supported GRC management (ISO 27001, BSI IT-Grundschutz, TISAX, DORA)
- Strategic focus on Agentic AI and GenAI for modern IT Governance, Risk & Compliance Management
- IT interim management and strategic consulting
Matthias K.
Last position:
Business Owner at AKM
Management of several MFA methods for centralized authentication within a group. Interface between various stakeholders such as Support, Finance, Developers, and Security departments. Assessment of compliance requirements such as KRITIS. Budget controlling and monitoring of KPIs and SLAs. Support with internal and external audits on MFA topics and with connecting new systems. Review of operational documentation. Participation in steering committees and leadership of service review meetings and decision-making committees.
Tools/Frameworks: FIDO, Yubikey, Veridium, BSI Grundschutz, NIST
Marco S.
Last position:
IT Interim Manager & Digitalization Consultant at paarprojekt GmbH
- Project management and consulting services with a focus on IT interim management: digitalization of corporate management, including processes and applications
- Assessment of the entire IT infrastructure, including applications, core processes and contracts, including cost optimization
- Evaluation and implementation of solutions to promote digitalization in the company in the areas of property management, CRM, invoice review and approval processes, smart metering, DMS and time tracking
- Digitization of file folders and introduction of SharePoint and Microsoft Teams as central document and communication platforms
- Design and delivery of an AI workshop, including the rollout of AI tools to increase efficiency and transparency in key business processes
- Preparation of training materials and delivery of user training for newly introduced digital processes and solutions
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 featuring a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic into a central semantic model – eliminating redundant files, manual data transfers, and inconsistent metrics between 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; enables 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 concrete recommendations for action
- AI solution architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Creation 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 distribution 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
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
Florian S.
Last position:
AI Product Manager / Product Owner at AI Product
- Generative AI products for corporate clients, owned from strategy through specification to production.
- Central strategy, local configuration: multi-tenant AI assistant for occupational pension schemes (bAV), delivered as an interactive avatar with text and voice path. Three tenants run on one codebase, each with its own conversation guide, while the knowledge base, guardrails and escalation paths stay central
- Versioned, AI-ready knowledge base composed into a tenant-agnostic voice context and tenant-specific text prompts — the configuration layer that keeps local adaptation from forking the product
- Conversational design: answer limits, scope and off-topic handling, anti-hallucination rules, escalation and lead handover to human advisors
- Five eval suites as a quality gate before any prompt or model change (anti-hallucination, LLM-as-judge failure modes, multi-turn consistency, voice KPIs, action vocabulary with confusion matrix); user test with 10 testers (Hamburg, 07/2026) drove the rework from alpha to beta
- Coordinated external developers, compliance and client stakeholders; GDPR-compliant EU stack, IDD-compliant, EU AI Act classification documented
- Second product line: white-label social media generator for consultancy chilli mind (CH/DE) — one codebase, per-client branding and configuration
- Results: 239+ deployments and a pilot with corporate customers · 108+ deployments for the white-label product · repeatable pattern for multi-tenant AI products in a regulated environment
Jörg K.
Last position:
Interim Project Manager at Rubix Holding Deutschland GmbH
- Rubix is Europe’s largest supplier of industrial parts and maintenance solutions (approx. 3 bn € turnover, private equity owned). Reported to the COO of the DACH subsidiary, leading a major restructuring project.
- Project Governance: Established robust governance structures (project charter, governance plan, communication structures), ensuring transparency and executive alignment.
- Logistics Restructuring: Consolidated multiple distribution centers into two central hubs, optimizing cost efficiency and service levels.
- Team Leadership: Directed a core team of 9, guiding planning and execution in a dynamic, fast-paced setting.
- Project Planning: Developed and validated a comprehensive project plan, translating high-level milestones into actionable work packages.
- Risk Management: Implemented risk register and root-cause analysis to proactively mitigate project risks.
- C-level Reporting: Presented project status and recommendations to the Steering Committee (CEO and executive board).
- Stakeholder Management: Managed alignment and engagement with diverse stakeholders in a private equity context.
- Budget Oversight: Managed a project budget exceeding 3 million €.
- Effective project governance and clear communication are essential for stakeholder alignment and successful transformation.
Ole H.
Last position:
Senior IT Project Manager at Rail-Flow GmbH
The client operates a SaaS platform for managing rail and intermodal transport (Rail-Flow Transport Management Platform).
For two of its customers, it was looking for a 3-month project management replacement. Both customers offer rail and intermodal transport services. Implementation progress differs: one customer is already live and wanted its Phase 2 enhancements implemented; the other customer is implementing its MVP and entering an intensive testing phase.
As part of the assignment, project management was taken over, including management of the internal development team (offshore Turkey).
- Took over complete project management for 2 customer projects, including the roles of Product Owner and Co-Scrum Master
- Managed agile implementation teams consisting of business analysts, implementation consultants, developers (offshore) and QA staff
- Ensured compliance with and further development of project governance
- Planning and rollout management: creation and maintenance of project and rollout plans as well as coordination of role assignments with the client’s management
- Requirements and change management: management of contractual requirements, bugs and changes
- Customer and project communication: organization and moderation of status meetings and steering committees
- Identification of project risks, initiation of countermeasures and escalation
- Ensured correct and timely invoicing for project services together with Finance
Methods: Scheduling (forward- and backward-based), including milestone planning, structured interviews, multi-project management (in English)
Tools / Technologies: Jira, Confluence / Atlas, Claude (Skills, Artifacts), MS Outlook
Wolfgang H.
Last position:
Interim Supply Chain / SAP S/4HANA Transformation Manager at Solventum / global logistics service provider
Stabilization of a critical logistics outsourcing setup in the context of an SAP S/4HANA transformation. The focus was on restoring a reliable operational fact base between the client, logistics service provider, international supplier plants and the SAP/IT organization.
- Coordination between the client, global logistics service provider, international supplier plants, SAP/IT teams, Quality Management and the operational shop floor.
- Management, monitoring and operational correction of Inbound Deliveries; integration of Outbound Delivery processes.
- Analysis of interface, posting, batch and master data errors between SAP S/4HANA, logistics service provider, supplier plants and internal business functions.
- Significant reduction of critical inventory differences between the client and logistics service provider.
- Improved operational management capability in the logistics environment and creation of a common fact base.
- Reduction of recurring error patterns in the areas of Inbound Deliveries, inventory, interfaces, batch/posting logic and service provider processes.
Felix B.
Last position:
Digital Consultant and Solution Manager at Vorwerk SE & Co. KG
Introduction of a new digital product to the Chinese market as part of a global growth strategy.
Point of contact and coordinating interface between central product management, local Chinese teams and international stakeholders.
Management of the entire program to coordinate complex digital projects.
Successful market launch of a digital product in China (including successful certification for the Chinese market).
Balancing local requirements with global priorities while taking tax and regulatory requirements into account.
Introduction of a new way of working to improve collaboration and coordination across locations.
Development and implementation of a scaling strategy for the digital business model in China.
Use of Jira, Confluence, Miro, Scrum, agile working, SAFe.
Project language: English.
Volker W.
Last position:
Analyst – Platform Optimization at TradingView ProRealtime
Programming custom indicators with ProBuilder (for the ProRealTime platform)
6 months at RCP - Rabe Academy (basics - trading account - TWS Interactive Brokers) Focus: ETH price history - NVIDIA stock (NASDAQ and CBOE)
- 500 hours total (TradingView & ProRealTime), including approx. 1,500 hours of tick data analysis using ProRealTime
Systematic market analysis, development of custom indicators, pattern recognition.
Hannah K.
Last position:
Lecturer in AI Fundamentals for the Digital Workplace at grandedu
- Lecturer in AZAV-certified, one-month training programs on AI fundamentals and practical application, with several sessions since February 2026
- Designed and delivered all modules for participants from a range of professional backgrounds
- Teaching how generative AI works, its areas of application and limitations, as well as practical prompting and evaluation
- Created all teaching materials and exercises independently
- Supported participants throughout the entire course period
Michael H.
Last position:
Interim Manager (Chief Digital Officer) at Leading German technical wholesale company
Agile Transformation – introducing agile principles and transforming traditional IT departments into Scrum and Kanban teams
IT Operating Model – redesigning the IT organization and introducing modern delivery structures and roles
Flight Levels – implementing Flight Levels to align strategy, coordination and operational execution
Leadership & Coaching – recruiting Agile Coaches and coaching Scrum Masters and IT leaders
ERP Operations – acting as Interim Product Owner for the existing ERP landscape and ensuring business continuity
ERP Transformation – supporting the migration from Microsoft Dynamics NAV to Microsoft Dynamics 365 Business Central as a Project Manager
Operational Core (ERP) – establishing dedicated teams for ERP Support, Feature Development, and ERP Migration
Modern Workplace – initiating the transition towards a Microsoft 365-based cloud workplace environment
ConnectHub – establishing a dedicated team to drive integration and connectivity initiatives
Warehouse Operations – building a cross-functional team to support logistics and warehouse-related capabilities
Maintenance & Operations (M&O) – introducing a dedicated team focused on stable operations and continuous improvement
AI Initiatives – identifying and promoting practical Artificial Intelligence use cases across the IT department
As Interim Chief Digital Officer (CDO) for a leading industrial supplier with a strong e-commerce focus (often described as 'the Amazon for industrial goods') responsible for leading the digital and organizational transformation while reporting directly to executive leadership.
Introduced agile principles and ways of working across the organization and transformed the traditionally structured IT department into cross-functional Scrum and Kanban teams focused on transparency, collaboration, and customer value delivery.
Redesigned the entire IT organization by establishing a modern operating model, introducing new roles such as Product Owner, Scrum Master and Solution Architect and strengthening the organization through strategic hiring and targeted capability development.
Recruited and onboarded Agile Coaches to accelerate the transformation and personally managed and coached Scrum Masters as well as IT department leaders to foster servant leadership, self-management and a culture of continuous improvement.
Implemented Flight Levels practices based on Klaus Leopold to align strategic objectives, cross-functional coordination and operational execution across the organization.
Introduced a ticketing system to increase transparency and enable data-driven decision-making, flow-based work management, and greater accountability at all levels.
Established and supported multiple cross-functional teams, including the Operational Core (ERP) domain with dedicated streams for Support, Feature Development and ERP Migration, as well as teams responsible for Warehouse Operations, Maintenance & Operations (M&O), Modern Workspace and ConnectHub.
Acted as Interim Product Owner for the operation and enhancement of the existing ERP landscape while supporting the migration from Microsoft Dynamics NAV to Microsoft Dynamics 365 Business Central as a Project Manager.
Collaborated with the selected implementation partner to design and establish the project organization and target operating model for the ERP transformation, introducing agile delivery structures and ways of working.
Facilitated the alignment between business, IT and the external vendor and played a key role in negotiating the contractual framework and delivery model to ensure a sustainable foundation for the transformation program.
Initiated the strategic modernization of the workplace environment through the adoption of Microsoft 365 cloud capabilities, establishing the foundation for enhanced collaboration, scalability and future digital services.
Launched AI initiatives to identify practical business use cases and promote the responsible adoption of Artificial Intelligence across the IT department.
Encouraged self-management and empowered teams to take ownership of decisions, delivery and continuous improvement.
Project language: German
Qamar H.
Last position:
Freelance Consultant Data Analytics & AI Portfolio at TIC Company
- Support for a data, analytics and AI initiative in a regulated enterprise environment by structuring, evaluating and prioritizing several data-driven use cases based on business impact, feasibility, scalability, data maturity and governance requirements.
- Translation of complex business and analytics requirements into clear product, data and implementation logic, as well as preparation of decision-ready documents, target visions and roadmap inputs for stakeholder and management discussions.
Vadim R.
Last position:
Independent AI Product Lab – Agentic Product Owner / Product Builder | R&D
- Hands-on development of AI-native product prototypes with specialized AI agents for research, requirements, business logic, UX/flow design, test case generation and quality assurance.
- Structured use and orchestration of AI agents through clearly defined roles, inputs/outputs and handover points; breaking down complex product tasks into verifiable work packages and iterative prototyping cycles.
- Establishment of human-in-the-loop quality gates to validate AI-generated results for functional correctness, consistency, completeness and feasibility; targeted rework cycles in case of deviations.
- Development of a regulatory GenAI/rules prototype for CRD VI with a structured decision flow, web UI, rule-based validation and automated test cases; iteration of the business logic through to a pilot-ready POC.
- Design of an AI-to-Action banking prototype: AI intent → consent → bank/product logic → conversion including admin console; translating the product idea into MVP scope, role model, user flows and clickable prototypes.
Discover over 15,000 top freelancers
Statistics of experts using Artificial Intelligence
Aggregated from the professional profiles of matched freelancers.
Experience
18 years

Position duration
3.1 years

Positions per freelancer
10

Top business areas
Information Technology, Product Development, Project Management

Top industries
Information Technology, Professional Services, Manufacturing

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
93%
Master's degree or higher
63%
Doctorate
10%

Certifications per freelancer
3

Most common languages
German, English, French

Speak two or more languages
97%
Based on our profile pool as of 26 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology 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 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 26 Sep 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 (81%)
- Professional Services (51%)
- Manufacturing (38%)
- Banking and Finance (38%)
- Automotive (35%)
- Retail (33%)
- Education (32%)
- Healthcare (28%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What it covers
Artificial Intelligence enables software to perform tasks that usually require human judgment, such as understanding language, recognizing images, predicting outcomes and generating content. It includes machine learning, deep learning, natural language processing, computer vision, recommendation systems and generative AI. Companies use it to turn complex data into decisions, actions and more responsive digital products.
What it builds
AI specialists create solutions that learn from data and support real business processes. Typical deliverables include:
- Predictive models for demand, risk, maintenance and customer behavior
- Natural language tools for search, classification, assistants and document processing
- Computer vision for inspection, detection and image analysis
- Generative AI applications using foundation models, retrieval and prompt workflows
- Recommendation and personalization systems for digital products
Ecosystem and tooling
The work spans Python, SQL and notebooks, together with frameworks such as PyTorch, TensorFlow and scikit-learn. Specialists may use cloud AI services, vector databases, model registries, orchestration tools and APIs from providers such as OpenAI, Google Cloud, Microsoft Azure and AWS. Reliable delivery also requires data pipelines, experiment tracking, evaluation, deployment and monitoring.
When expertise matters
Companies bring in freelance AI professionals when internal teams need to validate a use case, prepare data or move a prototype into production. They may need help connecting models to existing applications, selecting between hosted and open models, controlling infrastructure costs or setting up repeatable evaluation. Expertise is especially useful when quality, privacy, explainability and operational reliability affect business decisions.
Strong professional practice
Strong specialists begin with the decision the system must support, not with a model choice. They check data quality, define suitable evaluation methods and make uncertainty visible to stakeholders. They understand the limits of training data, test for bias and failure modes, protect sensitive information and document how a model behaves after deployment. They can explain technical trade-offs clearly to product, legal and operational teams.
Delivery and collaboration
A successful engagement usually produces more than a trained model. It can include a data strategy, working pipeline, tested API, model documentation, monitoring plan and handover to the internal team. Freelancers should be comfortable collaborating remotely or on site, working with existing engineering and data teams, and adapting communication to the company’s domain. The right specialist combines experimentation with disciplined delivery and measurable business outcomes.
Frequently asked questions
Before you brief your next project: the most common questions about Artificial Intelligence.
Artificial Intelligence is used for forecasting, fraud detection, document processing, customer support, search, recommendations, quality inspection and workflow automation. The right application depends on the available data, the required decision and the cost of errors.
Artificial Intelligence systems can infer patterns from data instead of relying only on rules written in advance. Traditional software remains valuable when logic is stable and transparent, while AI is useful for uncertain inputs such as language, images and changing customer behavior.
Artificial Intelligence is the broader field, while machine learning is one of its main approaches. Machine learning learns patterns from examples, whereas AI can also include rules, search, planning, language models and other methods.
AI work often requires data engineering, Python, SQL, cloud infrastructure, software integration and model operations. Strong specialists may also understand product discovery, information security, user research, statistics and responsible use of data.
Artificial Intelligence projects need enough expertise to define a credible use case, assess the data and choose a suitable delivery path. A proof of concept may need a focused specialist, while production systems usually require broader experience with deployment, monitoring, security and integration.
Artificial Intelligence work is often suitable for remote collaboration because data, code, experiments and cloud environments can be shared securely. On-site work may still help when specialists must access restricted systems, observe physical operations or run workshops with domain teams.
Artificial Intelligence specialists should explain their assumptions, data requirements, evaluation method and expected failure modes. Ask for relevant delivery examples, not just model knowledge, and assess whether they can connect technical results to business decisions and operational ownership.
Generative AI can suit applications that create or transform text, images, audio or code, especially when a foundation model can be grounded in trusted company information. It still needs careful evaluation, access controls, cost management and human review where inaccurate output creates risk.
The average hourly rate of freelancers who have used Artificial Intelligence in their recent projects is 105 €, which corresponds to a daily rate of about 838 € based on an 8-hour working day.
Of the freelancers who have used Artificial Intelligence in their recent projects, 93% hold at least a Bachelor's degree, 63% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers who have used Artificial Intelligence in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 3.1 years.
The most common languages among freelancers who have used Artificial Intelligence in their recent projects are German (98%), English (97%), and French (21%).
The most common industries among freelancers who have used Artificial Intelligence in their recent projects are Information Technology (81%), Professional Services (51%), and Manufacturing (38%).
The most common business areas among freelancers who have used Artificial Intelligence in their recent projects are Information Technology (82%), Product Development (74%), and Project Management (65%).
Main locations of FRATCH Experts, who have recently used Artificial Intelligence
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
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