
Artificial Intelligence Experts
to turn complex data into working products, matched in minutes with the power of AIHire experts who design machine learning systems, generative AI applications and computer vision workflows. Work with vetted, available freelancers matched to your technical needs, delivery context and project goals with speed and precision.
Meet FRATCH Experts who have recently used Artificial Intelligence
Valerii S.
Last position:
Freelance Software Engineer & Systems Architect at Early-Stage.dev
- IONOS Managed K8s Service: Engineered core K8s Operators and Auth architecture (Golang, OpenAPI, Postgres).
- IONOS Data Export Service: Built logging webservices and GitOps CI/CD pipelines (Golang, Loki, S3, ArgoCD).
- Pharma Cloud Migration: Modernized legacy on-premise software (Golang, OpenAPI, MongoDB, TypeScript).
- Greenfield ERP System: Engineered robust backend using augmented coding (Golang, GraphQL, Ent, Postgres).
- National Public Television: Delivered backend analysis and RESTful implementation (Golang, Postgres).
- Industrial Manufacturer R&D: Optimized QA and executed IoT refactoring (Golang, InfluxDB, MQTT).
- Recipe & Cooking App: Managed backend bugfixing and infrastructure adjustments (Golang, AWS EC2, Terraform).
Jonathan K.
Last position:
Freelance Consultant for BI, Reporting, and Automation at Vantura Studios
- Designed and implemented reporting, calculation, and decision-making systems for operational and commercial business processes
- Built reports and dashboards with Power BI; combined data from distributed sources
- Automated recurring data, reporting, and documentation workflows with n8n and APIs, integrating different tools
- Developed internal business tools and digital solutions, from gathering requirements to creating working prototypes
- Used AI tools and custom agent systems for analysis, implementation, and quality assurance
Sascha K.
Last position:
AI startup for radiology practices
AI startup for radiology practices
Pitch materials, competitor analysis, pilot proposal with KPI definition
Claudia B.
Last position:
AI Strategy Consultant at Self-employed
- I support companies in introducing AI strategically and embedding it so that it is actually used in everyday work.
- My approach is consistently people-centered and bottom-up: AI potential emerges where people work with processes every day, not in abstract strategy papers or technology projects.
- With 15 years of experience in international companies (including Mars and Haleon), I combine business understanding, strategic analysis and a structured approach to AI transformation.
Ways we can work together:
- AI Readiness & Maturity Assessment Analysis of the current level of AI maturity and identification of realistic opportunities.
- Use-Case Discovery & Prioritization Participatory workshops with teams to identify and assess specific AI use cases.
- AI Strategy & Roadmap Development of an actionable AI strategy with prioritized use cases, pilot projects and a clear roadmap.
- Strategic Implementation Support Support from the pilot phase through the sustainable integration of AI in the company.
- AI Training for Teams Practical fundamentals for confident use of AI in everyday work.
Jörg P.
Last position:
Interim Mandate
Compliance Project Leadership for a Bafin-mandated Wind-down Foreign commercial bank subsidiary in sanction-related solvent liquidation
- Led the proportional wind-down of the compliance function (WpHG, Custody, MaRisk) in alignment with Bafin and auditors, while executing ongoing compliance requirements in Single Officer and Deputy roles.
- Assumed full ownership as Service Owner for outsourced AML, sanctions, and fraud prevention functions, designing and operating a high-intensity monitoring framework that minimized board exposure.
- Managed internal and external audit relations as primary contact, resolving complex legacy findings and elevating the regulatory dialog, resulting in fully clean audit opinions across all successive reports.
- Served as senior advisor to the Head of Legal & Compliance and the Management Board, including the Bafin-appointed Special Representative, within a highly political environment.
Thomas K.
Last position:
Founder at PentaVision by Thomas Kreutle
Part-time, full-time operations planned from 01/2027
Management consulting for automation, digitalization, interoperability, track & trace and artificial intelligence · Pharma/MedTech and mechanical engineering
- Built a service portfolio across the five competencies: from analysis, architecture and planning to supported implementation.
- Listed as a consultant by BAFA (09/2026): consulting services for SMEs as part of BAFA funding.
- Established a brand identity, website and quality management handbook as the basis for consistent, transparent consulting quality.
Dominik G.
Last position:
Head of Business Intelligence at PLAKATUNION
Scalable architecture based on Microsoft Fabric, reports and dashboards for executive management, shareholders, and partners, and AI agents for process automation. Identified market gaps through competitor analysis.
Christian T.
Last position:
Change Management Consultant & Business Coach at Turba Labs
Career roles and levelling framework for an AI startup. Defining role scope, progression criteria, and how promotion decisions get made and communicated — including the question most frameworks now have to answer: what "senior" means when a large part of the work is AI-assisted.
Ludwig W.
Last position:
Consultant
With more than 30 years of experience in enterprise IT sales, managing strategic major accounts, and successfully leading complex transformation projects, I have a deep understanding of demanding customer organizations and their digital development goals. In my current role as an independent consultant, I was responsible for sales of enterprise cloud, data, and transformation solutions across the DACH region. My focus is particularly on building lasting customer relationships at C-level and successfully supporting complex sales cycles in highly regulated and technologically demanding environments.
My career includes roles at Bechtle, Insight Technology Solutions, and Intershop, where I gained many years of experience building and developing strategic enterprise accounts and delivering large-scale IT projects. In addition, as managing director of my own company, I took on broad responsibility for sales, operations, and business development.
What especially interests me about the advertised position is the combination of cybersecurity, transformation, and enterprise sales. I see this as an environment where I can make the most of my experience advising decision-makers, developing customer strategies, and building sustainable growth opportunities.
I would welcome the opportunity to discuss my experience in more detail in a personal conversation.
Gonzalo S.
Last position:
Parental Leave at Home
- Full-time parenting break after Klim, planned and now complete. Available for new projects immediately.
- Kept my skills current with a hands-on course in API and AI integrations.
- Built small tools with AI agents and Claude Code to practise automation and reporting.
- Sharpened my stakeholder management with a toddler: daily negotiations, unclear requirements, zero escaped defects:D
Kurt M.
Last position:
WPO Unified Search Relevance (German Language) at Innodata
- Annotated and labeled German-language data for unified search relevance evaluation, following detailed project guidelines and quality standards.
- Assessed query-document relevance, ranking consistency, and linguistic nuances to support search system improvements.
- Performed quality assurance on annotated samples, identifying edge cases and ensuring high inter-annotator agreement.
- Collaborated remotely with project teams, providing feedback on guidelines and contributing to process improvements.
Borja C.
Last position:
Independent Transformation and Technology Initiatives at Grey Bear Consulting
Business development and professional exchange
- Developed a consulting offer for digital transformation, AI adoption, and Operating Models; built industry and partner relationships.
Robert A.
Last position:
Chief Product & Technology Officer (CTPO) at Facelift
- Lead Facelift's technology and product-engineering agenda, including product strategy, roadmap governance, architecture and delivery effectiveness.
- Represent Facelift in Entirely CTO, portfolio-review and combined-solutions forums, helping shape cross-hub priorities, investment choices and shared capabilities.
- Drive AI-enabled product development, analytics and data initiatives, platform modernisation and partner integrations across the product estate.
- Partner across Facelift's C-team, sales, customer success, finance, people and legal stakeholders on product investment, major customer issues, operating priorities and risk.
Elmehdi D.
Last position:
Senior DevOps Engineer at Amber Tech GmbH
- Automated Kubernetes deployments to over 400 customer target environments (Rancher/RKE2) using versioned Helm charts and Argo CD ApplicationSets for daily releases.
- Created self-service customer onboarding based on versioned runbooks, reducing the process from days to hours; coordinated with customer IT teams (AD/LDAP, SMB/DFS, network).
- Migrated selected services to AWS alongside the Open Telekom Cloud platform: provisioned VPC, EC2, and IAM roles with least-privilege policies using Terraform; operated workloads on EC2.
- Set up Keycloak realms and OIDC/SAML clients for product SSO, federated with customers’ Active Directory.
- Set up tenant-specific strongSwan IPsec sidecars on Kubernetes instead of a central transit VM, with keys in HashiCorp Vault: reduced connectivity costs by approximately 80%, with DFS indexing over the tunnel.
- Designed the high-availability migration of the Redis environment to managed OTC DCS; set up alerting and on-call rotations with incident.io by severity, and improved Grafana queries and indexing.
Lindsay J.
Last position:
Managing Director / CEO at NOGA Werbeagentur GmbH
- Founded, built and ran the agency; supported its sale to KNSK Group.
- Responsible for consulting, new business, operations and interdisciplinary teams.
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
92%
Master's degree or higher
64%
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 6 Nov 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 6 Nov 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 (39%)
- Banking and Finance (38%)
- Automotive (35%)
- Retail (34%)
- Education (32%)
- Healthcare (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What it does
Artificial Intelligence enables software to identify patterns, interpret language, generate content, make predictions and support decisions. It covers machine learning, deep learning, natural language processing, computer vision and generative AI. Companies use it to create intelligent features rather than fixed rule-based workflows.
Products and use cases
AI projects appear across customer-facing products, internal operations and research environments:
- Predictive models for demand, risk, maintenance and recommendations
- Generative AI assistants, search tools and content workflows
- Computer vision for inspection, recognition and document processing
- Natural language systems for classification, extraction and translation
Ecosystem and tooling
Strong delivery combines data preparation, model development and reliable production systems. Common tools include Python, PyTorch, TensorFlow, scikit-learn, Hugging Face and managed services from major cloud providers. Projects may also depend on vector databases, APIs, notebooks, experiment tracking, model registries and monitoring.
When to bring in experts
Freelance expertise helps when a company needs to validate an AI use case, build a proof of concept or move a model into production. Specialists are also valuable when internal teams lack capacity for data pipelines, model evaluation, prompt design or responsible deployment. Clear goals and representative data make the engagement more effective.
Delivery challenges
AI systems require more than a promising model. Professionals assess data quality, privacy, security, bias, latency and operating cost before selecting an approach. They connect models to existing applications, define evaluation methods and establish monitoring so results remain useful as data and user behaviour change.
Signs of strong expertise
Look for professionals who can explain trade-offs in plain language and show how their work performed in a real operating context. Strong specialists connect business outcomes with measurable technical tests:
- They define suitable data, evaluation criteria and failure handling
- They distinguish a foundation model, a custom model and a retrieval workflow
- They document assumptions, limitations and deployment decisions
- They plan for monitoring, retraining and human review
Frequently asked questions
Before you brief your next project: the most common questions about Artificial Intelligence.
Companies use Artificial Intelligence to automate analysis, predict outcomes, understand text and images, personalize experiences and generate content. The right application depends on data availability, risk tolerance and the decision the system needs to support.
AI learns patterns from data or uses trained models to produce outputs, while traditional software mainly follows rules written in advance. Many successful products combine both approaches, using conventional systems for control and AI for perception, prediction or generation.
Artificial Intelligence includes both machine learning and generative AI, but they solve different problems. Machine learning is often suited to prediction and classification, while generative AI creates or transforms text, images, audio or code from learned patterns.
A strong Artificial Intelligence specialist often combines Python, statistics, data engineering, cloud services and software delivery. Depending on the project, useful adjacent skills include MLOps, prompt design, information retrieval, cybersecurity, product discovery and responsible AI practices.
The right level of AI experience depends on the project’s data, risk and production scope rather than a fixed duration. A prototype may need focused experimentation, while a customer-facing system requires proven skills in evaluation, integration, monitoring and operational ownership.
Much Artificial Intelligence work can be delivered remotely through shared repositories, cloud environments and structured data reviews. On-site collaboration can help when teams handle sensitive data, specialized hardware or complex operational processes, and clear language expectations should be agreed early.
Ask an AI professional to explain the data, baseline, evaluation method and failure cases behind a proposed solution. Quality is shown through reproducible testing, transparent limitations, maintainable integration and evidence that the system improves a real business process.
Before hiring an Artificial Intelligence freelancer, clarify the business decision, available data, access constraints, expected outputs and ownership of the resulting system. Also agree on validation, documentation, security reviews and what happens when the model produces an uncertain or incorrect result.
The average hourly rate of freelancers who have used Artificial Intelligence in their recent projects is 104 €, which corresponds to a daily rate of about 835 € based on an 8-hour working day.
Of the freelancers who have used Artificial Intelligence in their recent projects, 92% hold at least a Bachelor's degree, 64% 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 (39%).
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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