Machine Learning Experts in Dortmund
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Meet FRATCH Experts in Dortmund, who have recently used Machine Learning
Laurin Hagemann
Last position:
Software Architect (Freelance) at Care4Sure
- Delivered MVP-focused full-stack architecture for a health-sector client: Vite/React frontend, backend services on Google Cloud Run, and Supabase for database plus IAM/authentication.
- Supported product requirements engineering and prioritized cost-aware workload placement, implementing browser-side/edge computation where feasible before moving logic to backend services.
Ashwin Parthasarathy
Last position:
Freelance Data Scientist at Mercor Intelligence
- Architected and deployed end-to-end machine learning pipelines across classification and prediction datasets, ensuring robustness and reproducibility through MLOps best practices.
- Contributed directly to LLM model output accuracy improvement by designing and engineering specialised prompts grounded in end-to-end ML and SciML pipeline logic.
- Developed training data for large language models by formulating coding problems that models could not resolve and subsequently documenting the correct solutions.
Daniel Fenge
Last position:
AI Researcher & LLM Evaluation – Conventional Paradigm Test (CPT) at Private
Conventional Paradigm Test (CPT) – AI Evaluation & LLM Research
Development of an experimental evaluation approach to examine “paradigmatic closure” in Large Language Models — that is, the question of how far LLMs can recognize the basic assumptions, values, and limits of the paradigms within which they generate answers.
Design and testing of an additional approach to classic AI benchmarks that does not primarily measure factual correctness or task performance, but instead examines a model’s ability to recognize alternative perspectives, make implicit assumptions visible, and reflect on the limits of its own answer or interpretation framework.
Focus areas: development of evaluation criteria and test questions · LLM evaluation and comparative model analysis · prompt and response analysis · qualitative classification of model answers · study of epistemic compression and value leakage · benchmark and literature research · development of structured assessment and analysis methods
As part of CPT, existing AI evaluation approaches and benchmarks were analyzed, and a minimalist test protocol was developed that classifies model answers by response patterns such as DIRECT, CLARIFY, PLURALIST, REFUSE, and META-AWARE. TruthfulQA was used as the basis for experimental application and comparison with existing reference answers.
Technologies & Methods: Large Language Models (LLMs) · Generative AI · Prompt Engineering · AI Evaluation · TruthfulQA · Benchmark Analysis · Human-in-the-Loop Evaluation · Qualitative Content Analysis · Research & Literature Review
Dany-Armand Djeudeu-Deudjui
Last position:
Senior Data Scientist at ibg NDT GmbH
- Investigate the relationship between Eddy Current Testing (ECT) signals and microstructural properties
- Detect latent patterns in ECT data that reflect intrinsic material characteristics
- Develop and validate predictive models for microstructural classification and quantification, using hardness and case depth as benchmarks
- Apply Bayesian Structural Equation Modeling for advanced data analysis
Patrik Garten
Last position:
Technical Lead Conversational AI at CANCOM
- Technical lead of a team developing agentic chatbot solutions (React, TypeScript, Python, FastAPI)
- Architecture design for multi-LLM dialog systems - focus on maintainability, UX, and autonomous execution
- Stakeholder alignment, CI/CD processes, and AI integration at enterprise level
Derek Micallef
Last position:
AI Automations Manager - Hardware Setup, Automation & Voice Agent at Autohaus Mazda
- Setting up new desktop computers
- Setting up a VPS for automation, databases and chat interface
- Connecting to Azure AI Foundry
- Developing various n8n workflows for email, social media and document management
- Implementing a QA system (backups, error handling, HITL)
- Setting up and optimizing an inbound voice agent
Mesut Yilmaz
Last position:
Solution Architect Computer Vision Store at Schwarz IT (Lidl/Kaufland)
- Expansion and support of the product portfolio for video analytics and computer vision
- Requirements gathering and engineering
- Consulting, project management and coordination of the pilot and international rollout
- Tools: IP-based camera and video systems, Citrix administration, OneNote, Microsoft Teams, Node-RED, Office 365, Age Verification, Qognify Umbrella, ThingsBoard, Xovis 3D sensors, AXIS cameras, GK checkout software, Atlassian JIRA
Andreas Einzmann
Last position:
AI Coach and Consultant at Studio 8 Dortmund
- Setting up and consulting a startup for organizational development (AI-supported)
- Vision and mission workshops
- Marketing roadmap and process design
- Development of sales processes (sales funnel, lead generation)
- Brand building and social media omnichannel strategies
- Content generation for audio, video, and posts (AI-supported)
- Agile consulting and SAFe implementation
- Atlassian consulting and setup of Confluence and Jira (workflows, dashboards, reporting)
- Setup of a podcast and video studio including live streaming setup
- Selection and implementation of hardware and software
- Website creation and brand building
- CMS implementation based on Typo3
- Consulting in sales, marketing, and social media
- Supporting companies in the efficient use of AI technologies
- Strategy development and consulting on implementing AI strategies
- Change management and supporting teams in AI adoption, including training
- Technical expertise in machine learning, data processing, and large language models (LLMs) like Llama, Claude, and OpenAI GPT
- Selection, fine-tuning, and integration of LLMs into business processes
- Consulting on ethics and governance for responsible AI use
- Conducting tailored training for executives and teams
- AI analysis of various large language models (Llama, OpenAI, Mistral)
- Creation and training of custom GPTs focused on organizational development (product vision, OKR, agile maturity)
- Development of a chatbot on agile maturity
- Development of an AI-generated survey to assess organizational agility
- Setup of local offline GPTs with a focus on data protection and GDPR compliance
- Conducting AI workshops for SMEs and mid-sized companies
Hendrik Belitz
Last position:
Lecturer at Front and Fullstack Development Lecturer
- Teaching JavaScript, HTML, CSS, React, NodeJS, MongoDB, MariaDB, and Express
- Designing and preparing lessons
- Classroom teaching and one-on-one coaching
Mohammed Abdallatif
Last position:
Data Scientist & Energy Consultant at Accenture GmbH
Rosemarie Fryzowicz
Last position:
Freelance Management Consultant in the Construction Industry at Freelance Management Consultant
- Implemented Agile methodologies to drive AI-enabled process optimization
- Integration of AI-driven solutions with SAP S/4 HANA
- Facilitated the adoption of advanced analytics tools to enhance decision-making
Ilja Leyberman
Last position:
Software Engineer/Architect (Tech Lead) at Mercedes-Benz Tech Innovation GmbH
- Implementation of various interfaces for subsystems and connection to external devices (cameras, scanners, digital lockers)
- Development of various interfaces in the used cars area
- Realization of various prototypes
- Support in UI/UX and data analytics
- Development of frontend and backend solutions
- Kubernetes migration
- Building CI/CD pipelines
- Communication with the business unit and technical design of new solutions
- Cross-team alignment and coordination within the team
- Overview of the entire technology stack and related systems
- Documentation, preparation, and conducting of reviews
- Supporting the team and coordinating releases and key milestones
Discover over 15,000 top freelancers
Statistics of experts using Machine Learning
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 14 years)
Position duration
2.7 years (Germany: 2.8 years)
Positions per freelancer
11 (Germany: 8)
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Education, Healthcare
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
90% (Germany: 97%)
Master's degree or higher
50% (Germany: 77%)
Doctorate
30% (Germany: 19%)
Certifications per freelancer
4 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Dortmund are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Dortmund using Machine Learning
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it covers
Machine Learning is used to turn data into predictions, classifications, and recommendations. It powers fraud checks, demand forecasts, search ranking, and automated text or image analysis. Strong specialists choose the right model for the problem and keep the result usable in production.
Typical work
- Build supervised and unsupervised models
- Prepare training data and features
- Tune, validate, and compare models
- Deploy inference services and batch jobs
- Monitor drift, quality, and retraining needs
Tooling stack
The day-to-day stack often includes Python, pandas, NumPy, scikit-learn, TensorFlow, PyTorch, and notebooks. For delivery, professionals also work with APIs, Docker, cloud services, and experiment tracking. In Dortmund, this is often part of wider data work across industry, logistics, and manufacturing.
When companies bring in help
Teams usually look for freelance expertise when a model must move from prototype to production, when internal data is messy, or when a project needs a sharper method. A good specialist can work with product, data, and software teams, often remote, and join on-site in Dortmund when workshops or handover sessions matter.
What strong specialists do
Strong professionals do more than train a model. They define the target, test baselines, spot leakage, explain trade-offs, and make the output fit the business process. They also know when a simpler statistical approach is better than a complex deep learning setup.
What to look for
Look for practical experience with data preparation, model evaluation, and deployment. Ask how the expert handles missing data, bias, drift, and monitoring after launch. For Machine Learning or ML projects, clear communication matters as much as the choice of algorithm.
Frequently asked questions
Curious about Machine Learning? Here are the answers that come up again and again.
A strong Machine Learning specialist builds systems that predict, classify, rank, or recommend. That can mean demand forecasting, anomaly detection, document tagging, or a scoring service behind an app. The best experts also make sure the output is stable enough for daily use.
Machine Learning is a core part of AI, but not the whole field. AI also includes rule-based systems, search, planning, and generative models, while data science is broader and often includes analysis, reporting, and experimentation. Companies often need someone who can move between these areas without losing focus on the production goal.
A practical Machine Learning profile usually includes Python, pandas, scikit-learn, and one deep learning stack such as TensorFlow or PyTorch. For real delivery, look for experience with SQL, APIs, Docker, cloud services, and model tracking. If the project touches text or images, related libraries and preprocessing skills matter too.
A small proof of concept may need one strong specialist who can work quickly and make sound choices. A production system usually needs deeper experience with data quality, evaluation, deployment, and monitoring. For Machine Learning, the real question is not years on paper, but whether the expert has shipped work similar to your use case.
Machine Learning is better when patterns are hard to encode by hand and the system must learn from data. Rule-based automation is easier when the logic is stable, transparent, and changes rarely. Good specialists can tell you when a model is worth the complexity and when rules are the cleaner answer.
Yes, most Machine Learning work can be done remotely because the key inputs are data, code, and clear product goals. On-site time in Dortmund can still help at the start of a project, during stakeholder workshops, or when access to local systems is needed. Many teams use a mixed setup.
Ask for concrete examples of data cleaning, validation, deployment, and monitoring, not just model names. A good Machine Learning freelancer explains trade-offs clearly, can describe failure modes, and knows how to check for drift or leakage. You should also expect questions about your data, success metric, and how the result will be used.
Strong Machine Learning work often depends on SQL, statistics, software engineering, and cloud tooling. For some projects, MLOps, feature engineering, and domain knowledge are just as important as model choice. If the use case is text, images, or forecasting, relevant domain expertise helps a lot.
The average hourly rate of freelancers in Dortmund, Germany who have used Machine Learning in their recent projects is 93 €, which corresponds to a daily rate of about 740 € based on an 8-hour working day.
Of the freelancers in Dortmund, Germany who have used Machine Learning in their recent projects, 90% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 30% hold a doctorate.
On average, freelancers in Dortmund, Germany who have used Machine Learning in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Dortmund, Germany who have used Machine Learning in their recent projects are German (100%), English (100%), and French (25%).
The most common industries among freelancers in Dortmund, Germany who have used Machine Learning in their recent projects are Information Technology (75%), Education (67%), and Healthcare (58%).
The most common business areas among freelancers in Dortmund, Germany who have used Machine Learning in their recent projects are Information Technology (92%), Product Development (92%), and Research and Development (92%).
Main locations of FRATCH Experts, who have recently used Machine Learning
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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