Artificial Neural Network Experts in Munich
matched in minutes with the power of AI and vetted, available specialists.Hire experts who design, train, and tune artificial neural networks for forecasting, classification, and pattern recognition. They also work with TensorFlow, Keras, PyTorch, and model evaluation. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Munich, who have recently used Artificial Neural Network
Philipp Grunert
Last position:
Data Scientist & ML Engineer at Data-Science Factory GmbH
- Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
- Implementation of automated end-to-end cloud processes
- Development of LLM and NLP models
- Creation of interactive reports
- Support for national and international large corporations as well as medium-sized companies in implementing ML projects
Mirza Klimenta
Last position:
Agentic AI for a DeepResearch project at Freelance
- Created a multi-agentic system supported by a knowledge graph to automate drafting of research papers
- Used multiple experts (OpenAI models) collaborating during document drafting
- Extracted useful information from the knowledge graph
- Technologies: LangChain, LangGraph, Smolagents, LlamaIndex, dspy
- Infrastructure: Terraform and GitHub Actions (CI/CD) on AWS
- Deployed initial application as a Streamlit app
Serge Kalinin
Last position:
MLOps (machine learning operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
René Welland
Last position:
Conference Operator at Brähler Systems GmbH
- Developed the iOS/Android Delegate App and the Conference Operator
- Updated and developed a user-friendly conference environment and real-time video streaming
- Optimized the overall conference experience by implementing customizable features for flexible setup
- Enhanced the efficiency and usability of conference technology, enabling a seamless workflow and improved participant interaction experience
Andreas Blum
Last position:
Project Lead, Digital Transformation at SV Linde Tacherting e.V.
Researched, developed, and implemented comprehensive digital strategy to modernize and accelerate processes of sports club with approximately 1300 members.
System Architecture & Implementation: Conceived and set up central cost- and energy-efficient ARM-based server infrastructure.
Selected, installed, and configured open-source solutions for knowledge management, ticket booking, and member management.
Raghu Ram Vadali
Last position:
Telco Customer Churn Prediction – End-to-End ML Pipeline at Self-Initiated Project
- Designed and implemented a full machine learning pipeline for churn prediction using the Telco dataset.
- Applied preprocessing techniques including missing value handling, categorical encoding, feature scaling, and PCA.
- Built and compared over 15 models (logistic regression, random forest, XGBoost, etc.) and evaluated them using accuracy, precision, recall, F1 score, ROC AUC, and PR AUC.
- Tuned hyperparameters with GridSearchCV, achieving 80.6% accuracy with random forest and XGBoost.
- Created visual reports (bar plots, heatmaps, radar charts) to interpret model performance and churn drivers.
- Exported reusable pipelines and trained models with joblib for deployment.
Michael Møller
Last position:
Freelance Senior Consultant & Cloud Architect at Rheinmetall AG
- Specialized in designing and implementing robust, secure cloud solutions for critical client infrastructure.
- Expertise in Microsoft Intune environment with a strong focus on system hardening and comprehensive policy management.
- Architected NIST and ISO/IEC 27000 compliant Mobile Device Management (MDM) infrastructure tailored for an international government defense aerospace project.
- Performed an architectural role for an offline Microsoft Endpoint Configuration Manager (MECM) environment, ensuring NIST compliance while handling complex manufacturing infrastructure.
Tobias Bauernfeind
Last position:
Lead XR Project at BMW Group
- Showcasing the world's first fully immersive AR glasses experience in a moving car at CES 2024.
- Speaker about augmented reality at international conferences (e.g. the AR Ride Concept @ Unite 2024).
- Lead a 12-person interdisciplinary software team developing Android head-unit integrations, navigation & ADAS UI, and embedded software.
- Define technical direction, drive cross-domain architecture and integration, and mentor engineers across Android, UI/UX and embedded stacks.
- Oversee a small fleet of test vehicles for validation, tests, and data collection.
Christian Musewald
Last position:
Independent Management Consultant at CuriousMinds Unternehmensberatung
- Strategy consulting, technical consulting, interim management and training
- Management consulting and development of application solutions through interdisciplinary approaches
- Staff and team development as well as innovation and communication management
David Huber
Last position:
Consultant for AI Strategy and Digitization at ai-strategy.io
- AI vision development: Match external best practices with analysis of processes, interfaces, stakeholders, data flows, and output KPI, creating a long-term target picture of process automation and AI augmentation
- Curated employee training framework, e.g. for public service foundation: Basics of AI, generative AI applications, evaluation of human judgement and machine control in socially critical applications
- Implemented advanced upskilling courses specialized for product managers: Using AI in innovation, portfolio management, process automation, and marketing to promote novel products and services
- Multiple keynote speaker: AI-driven organizational transformation powered by cultural transformation and forward-looking leadership practices
- Ongoing exchange of expertise and experiences with personal network of leading AI strategists at multinational corporations, e.g., Siemens, Mercedes-Benz, BMW, McDonald’s, Adidas, Linde, Infineon, TÜV Süd, to collect business best practices
- Cooperation with expert leadership networks, e.g. TEC Leadership Institute and PM1 to strengthen impact through increased reach across organizations and industries
Martin Ratajczak
Last position:
Senior LLM Research Scientist at BYO Inc.
- Research and develop models for chatbots, NLP and LLMs (e.g. Llama, Qwen, OpenAI)
- Enhance chatbots with RAG, in-context learning
- Supervised fine-tuning (PEFT, LoRA), Huggingface or Unsloth
- Advanced training methods: Test-time training, (transductive) active learning, reinforcement learning
- High-throughput serving with vLLM
- Apply embedding models (e.g. SentenceTransformers), similarity/vector search or vector DB or ranking (e.g. LlamaIndex, Faiss, LangChain)
- Generate and filter synthetic data, clustering
- Detect hallucinations
- Evaluate chatbot models (Rouge, BLEU, F1-Score, Recall, Precision)
- Visualization of experiments (matplotlib)
András Bognár
Last position:
Test Equipment Developer at Minebea Access Solutions
- Tested passenger car opening handle at system level integrating hardware, software and mechanics
- Built and provided complete test equipment for system testers using Arduino boards, Saleae Logic analyser, oscilloscope, multimeter, RLC meter, programmable power supplies and function generators
- Developed system testing concepts and constructed manual system test bench
- Supported system testers with hardware and software tools
- Products: BMW XNF, Rolls Royce, Audi eRing, JLR (Jaguar-Land-Rover)
Daniel Carton
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Anton Klonov
Last position:
Head of Technical Overall Integration NSC / Hadoop Cloud Development at IABG
Head of technical overall integration NSC (National Secure Cloud project with about 60 employees).
Technical integration of all subprojects into one product, definition of interfaces, basic components of a cloud including hardware, technical architecture of the IABG base.
Development of a Cloud Management Platform (CMP) that can create a private/mixed cloud of any complexity based on a textual description with one click or interactively.
CMP also includes the complete hardware management cycle.
As a foundation, it uses Kubernetes, OpenStack, and Hadoop.
The management layer includes Harbor, Gitea, Longhorn, Keycloak, Rancher and Jenkins, which are automatically configured.
The private cloud can run any customer workloads, including a full Hadoop stack with HDFS, Spark, MapReduce, Mesos, HBase and around 20 other ML/DL technologies.
Hadoop worker clusters can also be automatically installed on bare metal or commodity hardware without Kubernetes.
OpenStack with Nova, Neutron, Ironic, Swift, Cinder, Ceph.
Development of a Java application Rudi: SOAP, REST, containers, database.
Technologies: Kubernetes (K3s, RKE2, Minikube, Harbor, Gitea, Jenkins, Longhorn, Keycloak, Rancher), OpenStack (Nova, Neutron, Keystone, Swift, Ceph, Cinder, Sahara, Magnum, Kayobe, Kolla, Bigrost, Ironic), Hadoop (HDFS, Ambari, Solr, Livy, Ranger, YARN, Tez, HBase, Kafka, Hive, Zookeeper, MapReduce, Spark, Oozie, Flink), virtualization (Kubernetes (K3s), VMware, Oracle), scripting (Ansible, Puppet, Juju, Shell, Groovy, Gradle, Maven).
Maksym Shvaykovskyy
Last position:
Head of System Integrations at TAKKT AG
- Lead high-performing teams to enhance enterprise system efficiencies, specializing in ERP and PIM systems within AWS, Azure, and proprietary datacenter infrastructures
- Ensure seamless alignment with stakeholder visions through strategic tech integration and dynamic leadership
- Build Generative AI solutions using platforms such as Azure/OpenAI, Google, Claude, and Ollama
- Develop intelligent system integrations and advanced data strategies leveraging AI and machine learning models
- Champion Agile methodologies (SCRUM) and mentor team in roles such as Team Lead, Scrum Master, and Product Owner
- Deliver robust, scalable solutions that power strategic business growth and operational excellence
Discover over 15,000 top freelancers
Statistics of experts using Artificial Neural Network
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 16 years)
Position duration
2.5 years (Germany: 2.3 years)
Positions per freelancer
12 (Germany: 10)
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Automotive, Education
Certification focus areas
Information Technology, Business Intelligence, Logistics
Bachelor's degree or higher
100% (Germany: 98%)
Master's degree or higher
100% (Germany: 86%)
Doctorate
41% (Germany: 30%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
English, German, French
Speak two or more languages
100% (Germany: 97%)
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 Munich 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 Munich using Artificial Neural Network
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 is
Artificial neural networks are machine learning models built to learn patterns from data. They are used for image recognition, text analysis, prediction, anomaly detection, and other tasks where rules are hard to write by hand. In practice, companies bring in specialists when the model must learn from complex, noisy, or high-volume data.
Common stacks
- TensorFlow and Keras for model design and training
- PyTorch for research, prototyping, and custom training loops
- scikit-learn for data prep and baseline models
- ONNX, CUDA, and GPU tooling for deployment and acceleration
Strong professionals know how these pieces fit together. They do not just train a network; they shape the full workflow from data to inference.
Typical work
- Build classification and regression models
- Tune architectures, loss functions, and hyperparameters
- Clean training data and handle imbalanced classes
- Evaluate model drift, overfitting, and stability
- Prepare exports for APIs, batch jobs, or edge use
When to hire
Companies usually look for freelance expertise when an internal team needs focused help on a new model, a risky redesign, or a one-off delivery. In Munich, this often comes up in mobility, industrial systems, media, and other data-heavy environments. Remote work is common, but on-site sessions help when data access, stakeholder workshops, or production handover need close coordination.
What strong specialists do
Good specialists explain trade-offs in plain language. They choose architectures that fit the use case, document data assumptions, and test results against business goals. They also watch for issues such as leakage, unstable training, and weak generalization before a model reaches production.
Skills around it
A strong project usually includes data engineering, Python, statistics, and deployment thinking. Depending on the use case, experts may also need NLP, computer vision, MLOps, or cloud setup. The best results come from professionals who can connect model work to clear product requirements and reliable operations.
Frequently asked questions
Quick answers to the questions that come up most around Artificial Neural Network.
An Artificial Neural Network is used to find patterns in data that are too complex for fixed rules. Companies use it for image classification, document tagging, forecasting, fraud signals, and sensor-based prediction. It is a good fit when the input is messy and the output depends on subtle relationships in the data.
A Artificial Neural Network can capture more complex, non-linear relationships than a linear model and often more than a single decision tree. The trade-off is that it usually needs more data, more tuning, and more care in evaluation. For simpler business problems, a lighter model can be faster to build and easier to explain.
A Artificial Neural Network project commonly uses TensorFlow, Keras, or PyTorch for training and experimentation. Specialists also work with Python, NumPy, pandas, and scikit-learn for preprocessing and baseline checks. For deployment, they may add ONNX, Docker, cloud services, or GPU tooling.
A Artificial Neural Network specialist should also understand data cleaning, feature preparation, and evaluation. In many projects, MLOps, API integration, and monitoring matter just as much as the training code. For Munich teams, good communication in English is often enough, but local collaboration can help during workshops and handover.
A Artificial Neural Network project can benefit from freelance help very early, especially if the team is new to deep learning or facing a production deadline. The more custom the architecture, data pipeline, or deployment target, the more useful an experienced specialist becomes. Simple proof-of-concept work may need less support than a production system.
A Artificial Neural Network specialist can often work remotely because model development is digital and iterative. On-site time in Munich helps when data access is sensitive, stakeholders need workshops, or a team wants close review of requirements and results. Many projects work best with a remote core and a few focused in-person sessions.
A Artificial Neural Network expert should be able to explain model choices, data assumptions, and failure modes without jargon. Look for clear examples of training, validation, overfitting control, and deployment, not just theory. Strong specialists also show how they measured usefulness for the business, not only technical accuracy.
A Artificial Neural Network freelancer usually works on a mix of experimentation, review, and handover. Good clients provide access to data, a clear use case, and someone who can answer business questions quickly. The work often includes iteration, so specialists should be ready to document what changed and why.
The average hourly rate of freelancers in Munich, Germany who have used Artificial Neural Network in their recent projects is 99 €, which corresponds to a daily rate of about 790 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Artificial Neural Network in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 41% hold a doctorate.
On average, freelancers in Munich, Germany who have used Artificial Neural Network in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Munich, Germany who have used Artificial Neural Network in their recent projects are English (100%), German (95%), and French (42%).
The most common industries among freelancers in Munich, Germany who have used Artificial Neural Network in their recent projects are Information Technology (89%), Automotive (74%), and Education (68%).
The most common business areas among freelancers in Munich, Germany who have used Artificial Neural Network in their recent projects are Information Technology (100%), Product Development (95%), and Research and Development (95%).
Main locations of FRATCH Experts, who have recently used Artificial Neural Network
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.
Berlin Hamburg 
Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Berlin Request a free demo
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Philipp Thomaschewski
FRATCH CEO
