
Artificial Intelligence Experts in Stuttgart
matched in minutes from over 15,000 CVsHire experts who design machine learning models, deploy generative AI solutions and connect intelligent services to business systems. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Stuttgart, who have recently used Artificial Intelligence
Thomas G.
Last position:
Author at Springer Gabler
- Wrote the book chapter “Entwicklung eines digitalen Geschäftsmodells” for the Springer Gabler collection “Praxishandbuch Digitales Management”.
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.
Sercan T.
Last position:
Co-Founder & Lead Software Architect at Pflege-Pfad
- Focus: System architecture, cloud-native platforms, microservices, API design
- Product: Pflege-Pfad is a digital placement platform that directly connects relatives of people in need of care with verified care services and caregivers – without an agency and without ongoing fees.
- Business analysis & process design:
- Analysis of the German care market and identification of the key pain points of both target groups.
- Modeling of core business processes: registration, verification, care request, application, placement, and rating.
- Definition of the business model as a freemium/premium model with optional contact unlocking.
- Creation of user stories and requirements documentation for relatives, care services, and administrators.
- Design of trust and quality assurance mechanisms with document upload, admin review process, and rating system.
- Coordination with stakeholders and validation of product decisions with potential users.
- Technical implementation:
- Design and implementation of the entire platform architecture as the sole developer.
- Design and implementation of a REST API with Spring Boot and Kotlin, including JWT-based authentication.
- Development of the frontend as a single-page application with Angular 17.
- Implementation of the AWS infrastructure with EC2, RDS PostgreSQL, S3, CloudFront, and IAM.
- Document upload with AWS S3 using presigned URLs to verify care services.
- Email notifications via Resend API.
- AI-supported care service search via OpenAI API.
- Implementation of complete user flows such as registration, login, password reset, and the placement process.
- Development of an admin panel for user and care service management as well as analytics.
- CI/CD with GitHub Actions and containerized deployments with Docker.
- End-to-end tests with Playwright.
Technologies: Kotlin, Spring Boot 3, Spring Security, JWT, JPA/Hibernate, PostgreSQL, Angular 17, TypeScript, RxJS, AWS (EC2, ECS, S3, CloudFront CDN, RDS PostgreSQL, IAM), nginx, GitHub Actions, Playwright, Maven, Git, OpenAI API, Resend API, Docker, Scrum, i18n (DE/EN/TR), Kiro, feature flag architecture.
Carlos M.
Last position:
Implementation in Pimcore/Shopware
- Consulting, design, analysis, software architecture and development
- Design, development and implementation of a Pimcore environment and connection of several external API systems in a Kubernetes environment, as well as various PIM and ERP systems
- Technologies: Unix environment, design, Symfony development, design, PHP 8+, software architecture, MySQL/SQL, Shell Script, Git Dev Ops tasks, AI coding assistance, Pimcore 12, Shopware 6
- Team size: >10 people
Swetha B.
Last position:
Project Management at the sandblasters GmbH
- Planning and concept development for building a new business model, including structuring and implementing business processes.
- Coordination and management of external service providers as well as interface management.
- Introduction and implementation of new digital tools and processes to optimize operational workflows.
Karin A.
Last position:
AI Benchmark Engineer | Native language specialist German at Lilt
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Building realistic task environments using datasets and files in German. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in German.
- Implementation & Verification: Supporting the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Opus).
- Quality Assurance: Participation in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
- Linguistic Review: Reviewing AI benchmark tasks across Hindi, Arabic, Japanese, Chinese, Czech and Turkish.
Till W.
Last position:
UX Consultant at RumX
Conversion & UX Optimization of a Sales Platform
- Identified the biggest issues across the entire purchase process through a comprehensive UX audit.
- Increased conversion from 0.2% to 25% by developing an end-to-end purchase process, supported by a new information architecture and clearer messaging.
- Accelerated implementation with screen annotations that prevent misunderstandings between design and development.
- Reduced the purchase process drop-off rate from 85% to 15%.
Tools: Figma, MS-Clarity, interaction principles, heuristics
Ronald F.
Last position:
Senior IT Consultant – Requirement Engineer at Deutsche Bank - Strivion
Methodology: Agile project management
Goal: Digitization and implementation of CCD2 requirements within the Consumer Finance systems.
Analysis, identification, and assessment of business requirements, as well as their transfer into technical implementation requirements. Coordination and status reporting of the various requirements. Documentation and process management using UML and BMPN. Cross-functional stakeholder management, UAT testing, data management, API architecture management.
Tools: Jira, Confluence, Visual Code, Sql Developer, Enterprise Architect, MsOffice, Bruno, ALM, Camunda, Figma
Stephan J.
Last position:
Technical Writer at pro-beam
Technical writer at a special-purpose machine manufacturer, implementing the requirements of the EU Machinery Regulation in the technical documentation and moderating FMEAs. Role: Technical Writer and FMEA Moderator
Kartheek K.
Last position:
Advisor & Investor (Limited Partner) at Destrosolutions
- Advised the executive team on the strategy, architecture, and development of an AI-powered Product Security Operations Center (PSOC); a cybersecurity operating system for software-defined cyber physical connected systems.
- Provided strategic guidance on product vision, regulatory alignment, and market positioning, supporting capabilities across threat intelligence, vulnerability management, compliance automation, and autonomous product security.
Artyom N.
Last position:
AI Automation Engineer & Solution Architect at Technology Research Project
Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.
- Designed and implemented complex automation workflows using n8n
- Developed AI-powered analysis agents for market and audience research
- Integrated multiple APIs and AI services into automated workflows
- Built automated market, competitor, and target audience analysis pipelines
- Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
- Containerized and deployed the platform using Docker
Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks
Selin E.
Last position:
Project Manager & Entity PMO Lead at Valeo Switches and Sensors GmbH
- Lead and coordinate complex cross-functional projects within LiDAR and software development environments.
- Develop and maintain critical project schedules, monitor work packages, track project baselines, and manage milestone progression via Gantt plans.
- Drive robust project controls by preparing detailed project forecasts, cost analyses, workload planning, and resource tracking.
- Monitor and report core KPIs related to cost, timing, quality, and delivery performance to ensure alignment with organizational goals.
- Design and present executive dashboards, management reports, and steering committee presentations for senior leadership.
- Facilitate seamless communication and alignment between R&D, Quality, Purchasing, Manufacturing, Finance, and international stakeholders.
- Proactively identify risks, maintain comprehensive risk registers, and contribute to mitigation planning and escalation processes.
- Coordinate engineering change requests, assessing their operational impact on project scope, timing, resources, and budgets.
- Drive efficiency through AI-powered process improvements using LEA Suite, structured prompting, workflow automation, and automated meeting documentation.
Alexander A.
Last position:
HR Business Partner at International Automotive Supplier
Recruiting Restructuring
- Consolidated and restructured recruiting; managed recruiters in Romania and Portugal
Aleksander B.
Last position:
SAP S/4HANA Solution Architect Logistics at Teckentrup GmbH & Co.KG
Main project lead and consultant for the ePPDS rollout
- Role: Lead consultant for the ePPDS rollout, main project lead for the ePPDS rollout
- Project content: 4) Carried out the pre-project for selecting the detailed planning tool 5) Project planning and team staffing for the ePPDS rollout 6) Solution architect for the digital process landscape around digital production
Technologies: Consulting, project management, customizing
Saribek K.
Last position:
Project Management Lead at Teva-Pharma Germany
- Project Management Lead for AI and Modernization implementation (Operations)
- Led the end-to-end RFP process for a predictive maintenance & asset health platform — requirements, evaluation criteria, and vendor selection.
- Negotiated the SOW — scope, timeline, and commercial terms (license split, credits) with the selected vendor.
- Product Owner for the POV pilot — defined scope, KPIs (OEE/downtime), success criteria, and go/no-go milestones.
- Aligned global and site stakeholders across engineering, operations, procurement, and legal — incl. GxP and scalability requirements for multi-site rollout.
Region: EU
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
3.3 years (Germany: 3.1 years)

Positions per freelancer
10

Top business areas
Information Technology, Product Development, Project Management

Top industries
Information Technology, Automotive, Professional Services

Certification focus areas
Information Technology, Project Management, Quality Assurance
Bachelor's degree or higher
93%
Master's degree or higher
58% (Germany: 64%)
Doctorate
5% (Germany: 10%)

Certifications per freelancer
3

Most common languages
German, English, French

Speak two or more languages
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 Stuttgart 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 Stuttgart 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 (73%)
- Automotive (62%)
- Professional Services (54%)
- Manufacturing (48%)
- Education (33%)
- Banking and Finance (30%)
- Healthcare (25%)
- Transportation (24%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Artificial Intelligence covers
Artificial Intelligence enables software to interpret data, recognize patterns, generate content and support decisions. It includes machine learning, deep learning, natural language processing, computer vision and generative AI. Projects range from predictive services to intelligent automation embedded in existing products.
Products and use cases
Companies use AI to improve operations, customer experiences and technical workflows. Typical deliverables include:
- Recommendation and forecasting services
- Document, text and speech processing
- Computer vision for inspection and analysis
- Generative AI assistants and retrieval systems
- Anomaly detection for connected equipment
Ecosystem and tooling
Strong specialists work across Python, SQL and model-serving frameworks such as PyTorch, TensorFlow and scikit-learn. They may use cloud AI services, vector databases, orchestration tools and experiment tracking systems. Production work also requires data pipelines, APIs, containers, monitoring and responsible access controls.
When freelance expertise helps
Companies often bring in external professionals when they need to validate an AI use case, prepare fragmented data or move a model from a notebook into production. Freelancers can support a focused prototype, an integration with enterprise software or a wider modernization effort. In Stuttgart, this can be useful for industrial, automotive, logistics and research-led environments, with remote or on-site collaboration depending on data and team requirements.
Signs you need a specialist
A project benefits from dedicated AI expertise when its goals, data or risks are not yet clear. Look for support when:
- Data quality blocks reliable model training
- A proof of concept must become a maintainable service
- Model results are difficult to explain or monitor
- Generative AI needs secure company context
- Teams need an evaluation plan before launch
What strong professionals deliver
The best professionals connect technical choices to measurable business outcomes without treating a model as the whole solution. They define useful evaluation methods, document assumptions, protect sensitive data and test performance under real operating conditions. They also explain trade-offs clearly, collaborate with product and domain teams, and leave behind reproducible pipelines that others can maintain.
Frequently asked questions
Key details about Artificial Intelligence, drawn from the questions we get asked most.
Artificial Intelligence is used to automate decisions, extract meaning from documents, predict demand, detect anomalies and personalize digital services. It can also support employees through search, summarization and generative AI assistants. The right use case depends on available data, business risk and the need for human review.
Artificial Intelligence learns patterns from data or generates responses, while traditional automation usually follows explicit rules. AI is useful when inputs are complex or variable, but it is harder to validate and monitor. Many effective systems combine both approaches, using rules for controls and models for interpretation or prediction.
A strong Artificial Intelligence specialist often combines machine learning with data engineering, statistics, software development and cloud deployment. Experience with APIs, databases, model monitoring, security and user workflows is also valuable. For generative AI, look for knowledge of retrieval-augmented generation, evaluation and prompt design.
The right level depends on the project rather than a fixed number of years. A small proof of concept may need a specialist who can frame the problem and test the data, while a production system requires deeper skills in architecture, reliability, privacy and operations. Ask candidates to show comparable deliverables and explain their decisions.
Much Artificial Intelligence work can be completed remotely, including data preparation, experimentation, model evaluation and API development. On-site collaboration may help when specialists must access restricted environments, inspect industrial processes or work closely with domain teams. Agree on data access, communication routines and language expectations before the project starts.
Review how the professional defines success, checks data quality and compares a model with a meaningful baseline. A capable Artificial Intelligence professional should discuss failure cases, explainability, monitoring, security and maintenance, not only model accuracy. Ask for examples of systems that reached production and how their performance was evaluated.
Define the business decision or workflow the Artificial Intelligence system should improve. Gather information about data sources, access restrictions, existing systems, expected users and acceptable risks. A clear discovery phase can reveal whether machine learning, generative AI, rules or a combination is the best solution.
Artificial Intelligence is the wider field, while generative AI is a group of systems that create text, images, audio, code or other outputs. Generative solutions often rely on large language models, embeddings and retrieval components. They still need careful evaluation, access control, source grounding and human oversight.
The average hourly rate of freelancers in Stuttgart, Germany who have used Artificial Intelligence in their recent projects is 104 €, which corresponds to a daily rate of about 833 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used Artificial Intelligence in their recent projects, 93% hold at least a Bachelor's degree, 58% hold at least a Master's degree, and 5% hold a doctorate.
On average, freelancers in Stuttgart, Germany who have used Artificial Intelligence in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 3.3 years.
The most common languages among freelancers in Stuttgart, Germany who have used Artificial Intelligence in their recent projects are German (100%), English (97%), and French (29%).
The most common industries among freelancers in Stuttgart, Germany who have used Artificial Intelligence in their recent projects are Information Technology (73%), Automotive (62%), and Professional Services (54%).
The most common business areas among freelancers in Stuttgart, Germany who have used Artificial Intelligence in their recent projects are Information Technology (84%), Product Development (78%), and Project Management (75%).
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.
Would you rather directly get in touch?
We always have the time for a call or email!

Berlin
Hamburg
Munich
Cologne
Frankfurt
Dusseldorf
Leipzig
Dortmund
Essen
Bremen
Dresden
Hanover
Nuremberg