Artificial Neural Network Experts in Munich
, matched in minutes by AIHire experts who design, train and deploy neural models for forecasting, computer vision and language applications. FRATCH connects you quickly with vetted, available freelancers whose skills match your data, framework and delivery needs.
Meet FRATCH Experts in Munich, who have recently used Artificial Neural Network
Mirza K.
Last position:
Agentic Automation and a RAG system
- This project involved extraction of intelligence data to support report writing for a company that provides geopolitical, global, commercial intelligence. The data have been gathered from a number of resources (interview transcripts, online data, internal documents), and then a knowledge base has been build from it. This was the basis of a complex RAG system, that was evaluated against a golden dataset. Agents have been used to find out the contradicting intelligence, the statements supporting each other, and to store back the generated knowledge.
Used: Python, RAG, LangGraph, LangChain, deepeval, MCP
Philipp G.
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
Serge K.
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
Christian M.
Last position:
Self-employed business consultant at CuriousMinds Unternehmensberatung
- Strategic consulting, technical consulting, interim management, and training
- Management consulting and development of application solutions through interdisciplinary solution approaches
- Employee and team development as well as innovation and communication management
Marco P.
Last position:
Co-founder at Health AI Language Learning Startup
Co-founded an AI-native language learning startup, defining the product vision, AI architecture and technical roadmap. Designed and built the AI and backend stack, including LLM fine-tuning pipelines, custom agentic workflows, and scalable inference infrastructure. First product currently in private beta.
Robert D.
Last position:
Co-Founder and Managing Director at Infinite Mind GmbH
I help leadership teams turn the potential of AI into measurable business results — fast, pragmatic, and with people at the core.
As Co-Founder of Infinite Mind, I work with CEOs and innovation leaders to identify high-impact AI opportunities, design actionable solutions, and support adoption across the organization. Our focus: driving productivity gains, smarter workflows, and scalable value.
Over the past ten years, I've worked at the intersection of Digital Transformation, Data, and Machine Learning, advising companies in software, high-tech, media, and insurance. I’ve led large-scale initiatives, including the group-wide adoption of Generative AI, and understand the strategic and human challenges of driving change at scale.
I combine a technical background in machine learning (M.Sc. Electrical & Computer Engineering, TUM) with a broader perspective shaped by degrees in Physics and Philosophy (LMU Munich). In addition to my consulting work, I’ve co-founded a tech-enabled charity and supported early-stage founders as a business coach.
If you're looking to go beyond the AI hype and make it actually work in your business — let’s talk.
Narges D.
Last position:
Research Assistant at Hochschule München
Introduced an integrated approach for structural damage detection across concrete, steel, and glass using advanced technologies such as LiDAR and thermal imaging. Highlighted cross-material interactions to enhance diagnostics and enable predictive maintenance.
Developed an NLP-based medical note simplifier that transforms complex clinical instructions into plain, child-level English. Applied prompt engineering with Flan-T5 transformer models to extract patient-relevant actions and rephrase them into clear to-do items. Built dual Flask and Tornado backends with a printable web interface.
Martin R.
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)
René W.
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 B.
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 V.
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.
Anton K.
Last position:
Head of Overall Technical Integration NSC / Hadoop Cloud Development at IABG
Head of overall technical integration NSC (National Secure Cloud, project with approx. 60 employees).
Technical integration of all subprojects into one product, definition of interfaces and basic components of a cloud including hardware, technical architecture of the IABG platform.
Development of a Cloud Management Platform (CMP) capable of creating private/mixed clouds of any complexity based on a textual description with one click or interactively.
CMP also includes the complete hardware management lifecycle.
Kubernetes, OpenStack and Hadoop are used as the foundation.
The management layer includes Harbor, Gitea, Longhorn, Keycloak, Rancher and Jenkins, which are configured automatically.
Private cloud can run any customer workloads, including a full Hadoop layer with HDFS, Spark, MapReduce, Mesos, HBase and around 20 additional ML/DL technologies.
Hadoop worker clusters can also be installed automatically without Kubernetes on bare metal or commodity hardware.
OpenStack with Nova, Neutron, Ironic, Swift, Cinder, Ceph.
Development of a Java application Rudi: SOAP, REST, containers, DB.
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).
Michael M.
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 B.
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.
David H.
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
Discover over 15,000 top freelancers
Statistics of experts using Artificial Neural Network
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 16 years)
Position duration
2.2 years
Positions per freelancer
11 (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: 99%)
Master's degree or higher
100% (Germany: 88%)
Doctorate
36% (Germany: 30%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
English, German, French
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 19 Sep 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Artificial Neural Network 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 (88%)
- Automotive (75%)
- Education (75%)
- Manufacturing (46%)
- Healthcare (42%)
- Energy (38%)
- Media and Entertainment (33%)
- Banking and Finance (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What it is
An Artificial Neural Network is a machine learning model made of connected layers that learn patterns from data. It can estimate outcomes, classify images, interpret language, detect anomalies and generate predictions without relying on manually written rules. The approach is also commonly called an ANN or neural network.
What it builds
Neural networks support products and internal systems where inputs are complex, noisy or too large for simple logic. Typical deliverables include:
- Image classification, object detection and visual inspection
- Speech, text classification and language processing
- Demand forecasting, recommendation and risk scoring
- Anomaly detection for machines, transactions and sensor streams
- Generative models for content, simulation and data augmentation
Ecosystem and tooling
Strong work spans data preparation, model design, training and production operations. Common tools include Python, PyTorch, TensorFlow, Keras, Jupyter and scikit-learn, alongside NumPy and pandas for data handling. Specialists may also use CUDA, cloud GPUs, Docker, Kubernetes, MLflow and model-serving APIs to move a model into a reliable application.
When companies need expertise
Freelance expertise is useful when a team has valuable data but lacks a clear path from experiment to dependable service. Typical signals include:
- A proof of concept performs well but cannot be reproduced or deployed
- Training data needs cleaning, labeling, balancing or governance
- Inference is too slow, expensive or difficult to monitor
- A product needs computer vision, forecasting or language capabilities
- An existing model must be adapted, evaluated or optimized
What strong specialists do
Good professionals connect model quality with business and operational constraints. They choose a suitable architecture, establish meaningful validation, prevent data leakage and explain where predictions may fail. They also document experiments, track model versions and design monitoring for drift, latency, bias and changing input data.
Working across delivery teams
Projects often involve product, data, software and operations professionals, so clear interfaces matter as much as model code. In Munich, freelance specialists may work on-site with local teams or remotely across Germany and beyond. Effective collaboration depends on accessible data, defined acceptance criteria, secure environments and communication in the working language agreed by the company.
Frequently asked questions
Quick answers to the questions that come up most around Artificial Neural Network.
An Artificial Neural Network learns relationships in data and applies them to new inputs. Companies use neural networks for image and speech recognition, forecasting, recommendations, anomaly detection, language processing and generative applications.
An ANN can learn complex representations directly from large or unstructured data, while methods such as linear models, decision trees and gradient boosting often depend more on selected features. Neural networks may need more data, compute and careful tuning, so a simpler method can be the better choice for structured business data or highly explainable decisions.
An Artificial Neural Network specialist should understand data preparation, evaluation, architecture selection, regularization and reproducible training. Useful adjacent skills include Python, PyTorch or TensorFlow, SQL, cloud infrastructure, containerization, APIs and model monitoring.
A strong neural network professional should have delivered work similar to the actual task, such as visual inspection, forecasting or language classification. The right depth depends on data quality, safety requirements, integration complexity and whether the project is research, a proof of concept or a production service.
Yes, an Artificial Neural Network project can usually be delivered remotely when data access, security controls and experiment tracking are available. On-site collaboration in Munich can help during workshops, domain discovery or integration with hardware and operational teams, but it is not required for every engagement.
Ask how the ANN professional defines a baseline, separates training from evaluation data and tests performance against real operating conditions. Quality also shows in clear error analysis, reproducible experiments, documented assumptions, monitored deployment and an explanation of when the model should not be trusted.
An Artificial Neural Network can be implemented with low-level numerical tools, but frameworks such as PyTorch, TensorFlow and Keras provide efficient training, automatic differentiation and deployment support. The choice should follow the model size, hardware, team skills and production environment rather than framework popularity alone.
Before engaging an ANN freelancer, define the business decision the model should support, the available data, access restrictions and a measurable success criterion. It also helps to clarify deployment targets, expected response times, human review needs and who will maintain the model after handover.
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 795 € 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 36% hold a doctorate.
On average, freelancers in Munich, Germany who have used Artificial Neural Network in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Munich, Germany who have used Artificial Neural Network in their recent projects are English (100%), German (96%), and French (38%).
The most common industries among freelancers in Munich, Germany who have used Artificial Neural Network in their recent projects are Information Technology (88%), Automotive (75%), and Education (75%).
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 (96%), and Research and Development (96%).
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 
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FRATCH CEO
