Plotly Experts in Munich
matched in minutes with vetted specialists and the power of AI.Hire experts who turn Plotly, Plotly.js, and Dash into clear dashboards, interactive charts, and reporting tools that decision makers can use. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Munich, who have recently used Plotly
Michael Nelz
Last position:
Senior ML Engineer, AI Engineer at Lanxess AG
- Deployment and scaling of existing ML initiatives, including demand and cash flow forecasts.
- Building robust monitoring with mlflow for data stability, model performance, and drift detection, as well as implementing additional ML use cases.
- Further development of an Agentic AI chatbot for transparent and easy-to-understand model explanations.
Christian Schulz
Last position:
Data-Scientist/AI Engineer at The Marcom Engine GmbH & Co. KG
- Concept creation and implementing AI Agents in AWS Cloud
- Continuously alignment with stakeholders
- Collaborate with DevOps
- Technologies: Git, CI/CD (GitHub Actions), Python/ML, Streamlit, Deno/typescript, AWS SAM, AWS Bedrock, AWS Lambda, AWS Dynamo DB, AWS S3, AWS Event Bridge etc.
Sebastian Dirndorfer
Last position:
Data Scientist at CLADE GmbH
- Designed and implemented a robust Python-based data processing framework that supported the transition from R to Python and significantly improved data science productivity by providing maintainable, standardized modules for frequently used workflows, following coding best practices and DevOps principles
- Evaluated, trained, and deployed machine learning models on cloud platforms and edge devices, enabling fully automated mid-infrared (MIR) data evaluation pipelines that eliminated manual analysis steps and significantly shortened the time from measurement to prediction for customers and internal stakeholders
- Analyzed and interpreted multivariate MIR spectral data from the company’s proprietary analyzer using R and Python, supporting reliable identification and quantitation of chemical compounds in solution
Stephan Sahm
Last position:
Senior Data/ML Consultant & Technical Lead at Jolin.io
Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)
Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)
Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)
Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)
Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)
Stephan Baier
Last position:
Freelance Data Scientist at Baier Data & AI Consulting
Eyasu Habte
Last position:
Data Scientist at Deutsche Bundesbank
- Developed web scraping scripts to extract and parse over 5000 product data from the Zalando website.
- Performed ETL processes using Apache Spark in CDSW, loaded the data into the Hadoop ecosystem (HDFS), and managed data using Hive and Impala.
- Implemented machine learning algorithms, achieving 85–90% accuracy on multi-class product classification.
- Integrated Zalando's product and price data into the dashboard with Otto and Takko for interactive visuals.
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)
Mario Gmbh
Last position:
Software and Data Engineer at Plexify GmbH
- Architecture, design and development of an MVP application for a provider of specialized travel experiences
- Technologies: Python, FastAPI, Firestore, Firebase, Docker
Konstantin Gaertner
Last position:
Senior Business Analyst, Requirements Engineer, Project Manager at Perelyn GmbH
Adithya Balaji
Last position:
Edge AI Software Engineer at Neura Robotics GmbH
- Deployed and optimized Vision-Language-Action (VLA) and diffusion policy models on NVIDIA Jetson Orin and Jetson Thor, meeting real-time inference latency targets for humanoid robot control loops.
- Built TensorRT engine pipelines (PyTorch → ONNX → TensorRT) with INT8/FP8 post-training quantization, calibration dataset design, and quantization-aware validation, reducing inference memory footprint by over 3× on Jetson without accuracy regression.
- Developed custom CUDA C++ plugins and CUDA Graphs for latency-deterministic, real-time policy execution – meeting hard runtime and memory constraints on embedded GPU targets.
- Developed an inference engine for VLA models on top of llama.cpp bringing different VLA policies under single runtime, packaging each as a single self-contained GGUF that needs no Python or PyTorch.
- Profiled and tuned GPU execution using NVIDIA Nsight Systems and Nsight Compute, identifying CUDA kernel bottlenecks, memory bandwidth saturation, and SM occupancy issues across Jetson Orin and Thor compute profiles for cross-layer performance optimization.
Discover over 15,000 top freelancers
Statistics of experts using Plotly
Aggregated from the professional profiles of matched freelancers.
Experience
12 years
Position duration
2 years
Positions per freelancer
9
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Manufacturing, Automotive
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
89%
Doctorate
33%
Certifications per freelancer
4
Most common languages
German, English, Spanish
Speak two or more languages
100%
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 Plotly
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
Interactive charts
Plotly is used to build interactive charts, dashboards, and data stories that let teams explore trends instead of reading static images. It works well for internal reporting, product analytics, and client-facing visuals that need hover details, filters, and clean drill-down views.
Common stack
- Plotly Python for notebooks, analytics apps, and quick prototypes
- Plotly.js for browser-based charts with custom behavior
- Dash for production dashboards and multi-page apps
- Python, JavaScript, and data preparation workflows
Where it fits
Companies bring in Plotly specialists when spreadsheets no longer explain the numbers clearly. In Munich, that often means work for analytics teams, industrial companies, mobility projects, and SaaS products that need polished visual reporting for mixed technical and business audiences.
Strong delivery
Good professionals do more than draw charts. They structure datasets, choose the right chart type, tune performance for large views, and make layouts readable on desktop and mobile. They also know how to keep visuals consistent with brand, accessibility, and product design rules.
Freelancer signs
- Builds reusable chart components instead of one-off plots
- Knows how to handle callbacks, filters, and state
- Writes clear code that other specialists can maintain
- Can explain trade-offs between Plotly, Plotly.js, and Dash
What to expect
A strong Plotly expert can work remote or on-site, depending on how much access they need to stakeholders and data. For Munich-based teams, hybrid collaboration is common when dashboards need fast feedback from product, analytics, or operations. Clear data access and a defined chart goal matter more than long onboarding.
Frequently asked questions
Key details about Plotly, drawn from the questions we get asked most.
Plotly is used for interactive charts, dashboards, and data exploration tools. Teams choose it when they need hover details, filters, zoom, and reusable visuals that work in notebooks, web apps, or reporting layers. It is common in analytics, product, finance, and operations work.
Plotly focuses on interaction and web-ready output, while Matplotlib and Seaborn are stronger for static analysis plots and quick statistical visuals. If the end user needs to explore data in a browser or dashboard, Plotly is usually the better fit. For publication-style static figures, the other tools can be simpler.
Plotly.js is the right choice when the chart must live directly in a JavaScript product or needs close control in the browser. Plotly Python is often better for analytics teams working in notebooks or Python services. The best choice depends on whether the work is product-facing or data-team-facing.
A strong Plotly specialist should also know Python or JavaScript, basic data modeling, and how to shape data before charting. Familiarity with Dash, pandas, APIs, and UI constraints is a plus. The best experts can explain why a chart works, not just how to build it.
Plotly work can be simple for a single chart, but serious dashboard work needs someone who understands structure, callbacks, and data flow. If the project includes shared filters, reusable components, or a production app, a seasoned specialist is safer. The more people will depend on the output, the more quality matters.
Yes, Plotly projects often work well remotely because the work is driven by code, data, and clear review cycles. For Munich teams, remote specialists can still join workshops when business users need to agree on metrics, layout, or chart behavior. Good documentation makes the handoff much easier.
Look for clear chart choices, tidy code, and evidence that the expert can build reusable visuals instead of one-off outputs. A strong Plotly professional can talk about performance, layout, and user flow, not only styling. Ask to see dashboards or chart components that were used in real products.
Plotly is the charting layer, while Dash is the app framework that often wraps those charts into full web dashboards. If you only need visuals, Plotly may be enough. If you need user input, page structure, and interactive data apps, Dash usually enters the picture.
The average hourly rate of freelancers in Munich, Germany who have used Plotly 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 Plotly in their recent projects, 100% hold at least a Bachelor's degree, 89% hold at least a Master's degree, and 33% hold a doctorate.
On average, freelancers in Munich, Germany who have used Plotly in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Munich, Germany who have used Plotly in their recent projects are German (100%), English (100%), and Spanish (40%).
The most common industries among freelancers in Munich, Germany who have used Plotly in their recent projects are Information Technology (80%), Manufacturing (50%), and Automotive (40%).
The most common business areas among freelancers in Munich, Germany who have used Plotly in their recent projects are Business Intelligence (90%), Information Technology (90%), and Product Development (80%).
Main locations of FRATCH Experts, who have recently used Plotly
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:
Berlin Hamburg 
Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 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!
Philipp Thomaschewski
FRATCH CEO
