ChatGPT Experts in Zurich
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Meet FRATCH Experts in Zurich, who have recently used ChatGPT
Damir M.
Last position:
Head of Research & Chairman of the Research Advisory Board at SBS Swiss Business School
Swiss University of Applied Sciences institute (HEdA/AAQ accredited); ranked #5 globally for Executive MBA (CEO Magazine 2025)
- Led the research function and chaired the Research Advisory Board.
- Editor of the Journal of Applied Business Research.
- Member of the Thesis and Dissertation Committee.
- Contributed to the AAQ and ACBSP accreditation processes.
Christoph J.
Last position:
Project management, Software engineering, Software architect, DevOps at Migros Genossenschafts Bund
- Greenfield project M-Zollmanager: Development of an internal platform to support users in booking requirement areas on line items in assessment notices.
- Greenfield project M-Deliveryplan: Development of an internal platform for planning and tracking deliveries in the international transport sector.
- Created functions to predict the estimated arrival time of container ships and goods from the port of loading to the port of destination, considering potential events.
- Developed the TrackAndTrace add-on for M-Deliveryplan to track and plan goods and containers.
- Built a generic AI chatbot for Migros app infrastructure, including ChatGPT integration and creating AI workflows with N8N.
- Developed AI assistants to automate repetitive tasks, such as creating release notes or processing Jira tasks based on N8N workflows.
- Further development and maintenance of the M-LFS, M-Vehicleaccess and M-Worklog apps.
- Used C#, Angular 18, DevOps practices, N8N, Kubernetes, Docker, Jira, Confluence and Azure.
- Ongoing project with continuous development of platforms and workflows.
Georgios S.
Last position:
Senior Software Engineer at UBS Bank
- Implementations of a code refactoring framework able to refactor thousands of repositories leveraging Generative AI
- Use Python (Django, Flask, FastAPI), Java and Typescript in Azure Cloud (Data Lake, VMs, AI) and GitLab infrastructure
- Mentoring and pair programming
- Obtained Azure AI-900 and AI-102 certifications
Csaba K.
Last position:
ServiceNow Consultant at DXC
- Worked in mixed teams with several clients
- Performed requirement engineering, proposal and time estimation
- Developed ACLs, business rules, flows, workflows, catalog items, various scripts, UI actions, policies, scoped applications
- Customized mobile apps: Now Agent and Now Mobile
- Implemented integrations using the Integration Hub
- Coordinated continuously with clients during development
- Performed testing and helped clients with testing
- Deployed to production and applied main version upgrades and patches
- Managed CMDB, domain separation and asset management
- Integrated between instances at different clients
- Developed GlideScript: business rules, scripted REST endpoints, extension points, fix scripts, background scripts
Paola S.
Last position:
Part-time retiree
Udo W.
Last position:
Julius Bär
Application ownership and further development of test user management (TUM)
Areas of responsibility: Application ownership (Application Ownership / ITSO), application management, incident management, deployment / release management, requirements management, prioritization, further development, automation, and interface management
Technologies: SQL Server, Python, GitLab, UC4, Lieberman, Linux
Responsible for the operation and continuous development of a central application for managing more than 5.000 technical test users and their data.
Gathered and assessed business requirements, independently prioritized further development, and planned and coordinated implementation using agile methods and PI Planning, in close collaboration with the relevant business units and IT teams.
Expanded the central SQL Server database with additional information about test and real users, and integrated further applications through defined interfaces. The modular application used Python-based processing components, with execution and workflows controlled through UC4. This enabled data from different source systems to be automatically transferred, processed, and made available, as well as new test users to be created automatically.
Ensured reliable application operations and continuously optimized and automated existing processes.
Application ownership, modernization, and migration of incident management (TRANT)
Areas of responsibility: Application ownership (Application Ownership / ITSO), application management, incident management, deployment / release management, requirements management, software modernization, migration, interface integration, and quality assurance
Technologies: UC4, Jira, SQL Server, Oracle, Java, Python, Lieberman, Linux, Jai
Responsible for the operation and development of an application that automatically records, processes, and forwards technical incidents in various test environments.
Automated the creation of Jira incident tickets when UC4 workflows were blocked, including routing them to the relevant application managers.
Modernized the application by migrating from Java to Python, moving the database from Microsoft SQL Server to Oracle, and replacing the Jenkins scheduler with UC4.
Integrated the Jira API and used the bank's internal AI solution Jai to support code migration and subsequent validation. Independently and critically reviewed AI-generated results for business and technical accuracy.
Shift lead for operations control in test environments
Areas of responsibility: Monitoring various test systems
Technologies: UC4, TSO, HOST, Azure-Cloud
Responsible for monitoring and controlling automated processing workflows in various test environments, including systems running in the Azure-Cloud.
Monitored UC4 and HOST workflows and analyzed and handled incidents. When processing workflows were blocked, Jira tickets were automatically created through TRANT and assigned to the relevant application owners. In coordination with them, affected jobs were restarted or stopped as needed. HOST processes were also monitored and controlled through OPC.
A multi-shift operation was introduced to ensure stable and as continuous as possible testing.
Test data anonymization manager
Areas of responsibility: Planning/anonymizing/publishing production data for test systems
Technologies: UC4, Informatica (PowerCenter and IDMC)
To ensure test environments could run with real data, production databases were cloned regularly. Production data had to be untraceable in test environments. For this reason, the cloned databases were first anonymized with Informatica PowerCenter and later with Informatica IDMC. Critical tables and columns in the various databases (Oracle, SQL-Server, MongoDB) had to be identified and analyzed at the data level. Rules for handling critical data were agreed with the application owners.
Discover over 15,000 top freelancers
Statistics of experts using ChatGPT
Aggregated from the professional profiles of matched freelancers.
Experience
27 years
Position duration
2.5 years
Positions per freelancer
18
Top business areas
Information Technology, Product Development, Project Management
Top industries
Banking and Finance, Information Technology, Education
Certification focus areas
Information Technology, Business Intelligence, Operations
Bachelor's degree or higher
100%
Master's degree or higher
100%
Doctorate
50%
Certifications per freelancer
4
Most common languages
German, English, Italian
Speak two or more languages
100%
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 Zurich 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 Zurich using ChatGPT
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.
ChatGPT experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Banking and Finance (83%)
- Information Technology (83%)
- Education (67%)
- Energy (67%)
- Automotive (50%)
- Insurance (50%)
- Manufacturing (50%)
- Professional Services (50%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What ChatGPT does
ChatGPT is a conversational AI product from OpenAI that generates, transforms, and explains text from natural-language instructions. Companies use it for customer support, internal knowledge access, research assistance, drafting, summarisation, translation, and structured content generation. Its capabilities depend on the model, prompt design, connected data, and controls around its use.
Projects it supports
ChatGPT specialists turn broad use cases into defined workflows with clear inputs, outputs, and review steps.
- Internal assistants for policies, procedures, and product knowledge
- Support tools for triage, reply drafting, and case summaries
- Marketing workflows for briefs, variants, and editorial review
- Research tools for extraction, comparison, and document analysis
- Custom GPTs and API-powered features inside business applications
Ecosystem and tooling
The work can involve ChatGPT Enterprise, custom GPTs, the OpenAI API, GPT models, embeddings, retrieval-augmented generation, and structured outputs. Strong specialists also work with Python or JavaScript, REST APIs, webhooks, databases, vector stores, identity systems, and cloud services. Evaluation sets, prompt versioning, logging, and access controls help turn experiments into maintainable products.
When companies need specialists
Freelance expertise is useful when a team has a promising use case but lacks a safe path to production. Bring in a specialist to select an appropriate integration approach, connect approved business data, improve response consistency, or establish evaluation and review processes. In Zurich, remote delivery is common, while on-site workshops can help align product, legal, security, and operations teams.
What strong professionals deliver
A capable ChatGPT professional starts with the business decision the system must support, not with a prompt alone. They define success criteria, test edge cases, protect confidential information, and explain where human review remains necessary. Their deliverables may include conversation flows, system prompts, API integrations, retrieval pipelines, evaluation plans, usage guidance, and monitoring documentation. They also distinguish fluent wording from dependable answers.
How to assess a fit
Look for evidence of shipped workflows rather than isolated prompt examples. Ask how the specialist handles hallucinations, sensitive data, changing source documents, model updates, and unclear user requests. A strong fit can describe the trade-offs between ChatGPT interfaces, API integration, and other language-model options in plain terms. They should also collaborate comfortably with subject-matter teams and document decisions so the solution can be maintained after handover.
Frequently asked questions
Curious about ChatGPT? Here are the answers that come up again and again.
Companies use ChatGPT for drafting, summarisation, research support, customer-service assistance, internal knowledge tools, translation, and structured content workflows. A specialist can connect these capabilities to approved company data and business systems while keeping review and access controls in place.
ChatGPT is usually faster to adopt than building and operating a language model from scratch. A custom solution may offer more control over hosting, data handling, model selection, or specialised behaviour, but it also requires more engineering, evaluation, and maintenance. The right choice depends on risk, integration needs, and the required level of control.
A strong ChatGPT specialist may also understand API integration, Python or JavaScript, retrieval-augmented generation, databases, vector search, identity management, and cloud services. Experience with prompt evaluation, data protection, workflow design, and user research is equally valuable for business deployments.
The required depth depends on the use case. A simple drafting workflow may need prompt and process design, while a production assistant connected to private documents requires skills in retrieval, security, evaluation, monitoring, and failure handling. For a ChatGPT engagement, judge experience by the similarity and quality of delivered workflows rather than by a fixed number of years.
ChatGPT can be used with business information only when the chosen product setup, permissions, data flows, and retention policies meet the company’s requirements. A qualified specialist should map sensitive data, limit access, separate instructions from source content, and define when human approval is required.
Yes. ChatGPT projects can often be delivered remotely through shared requirements, secure environments, recorded demonstrations, and structured testing. Teams in Zurich may still prefer on-site workshops for stakeholder alignment, especially when the work affects customer service, regulated processes, or internal knowledge.
Ask for a clear evaluation method, representative test cases, documented limitations, and examples of how failures are handled. High-quality ChatGPT work measures factuality, relevance, consistency, safety, latency, and user effort instead of judging responses only by how natural they sound.
Freelancers should understand that ChatGPT is a product and interface within the wider OpenAI ecosystem, not a substitute for requirements, domain knowledge, or testing. Successful work combines prompt and conversation design with data handling, integration decisions, evaluation, and clear communication about model limits.
The average hourly rate of freelancers in Zurich, Switzerland who have used ChatGPT in their recent projects is 108 €, which corresponds to a daily rate of about 861 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used ChatGPT in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 50% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used ChatGPT in their recent projects have 27 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Zurich, Switzerland who have used ChatGPT in their recent projects are German (100%), English (100%), and Italian (33%).
The most common industries among freelancers in Zurich, Switzerland who have used ChatGPT in their recent projects are Banking and Finance (83%), Information Technology (83%), and Education (67%).
The most common business areas among freelancers in Zurich, Switzerland who have used ChatGPT in their recent projects are Information Technology (83%), Product Development (83%), and Project Management (83%).
Main locations of FRATCH Experts, who have recently used ChatGPT
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.
Countries:
Zurich 
Geneva Basel Bern Request a free demo
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Philipp Thomaschewski
FRATCH CEO
