TensorFlow Experts in Nuremberg
in minutes from over 15,000 CVs with the power of AI.Hire experts who build TensorFlow models, tune training pipelines, and move prototypes into reliable production systems. Get support for Keras workflows, model serving, and integration with Python-based data stacks, matched fast and precisely with vetted, available freelancers.
Meet FRATCH Experts in Nuremberg, who have recently used TensorFlow
Arun Sai Thunga
Last position:
AI-Backend Developer Intern at Calvergy UA
- Integrated complex AI-based energy system models into the frontend framework, enabling the visualization of insights for 6+ key clients and maximizing energy utilization.
- Maximized energy efficiency and utilization by architecting the seamless data flow between AI models and the user interface for rapid, actionable reporting.
Muntaha Shams
Last position:
AI Engineer (Freelance) at Upwork
- Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
- Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
- Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
- Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
- Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
- Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.
Pawan Saxena
Last position:
CAPTCHA Recognition using CRNN
- Built a CRNN model with VGG16 and BiLSTM backbone for text-based CAPTCHA recognition
- Achieved 9.37% character error rate and 68.36% sequence accuracy on validation data
- Expanded data augmentation pipeline with distortions, noise injection, and clutter to improve robustness
- Conducted detailed error analysis on confusable characters (O, Q, D) and proposed error-specific augmentation
- Tech Stack: Python, TensorFlow/Keras, OpenCV, NumPy, Matplotlib
Usman Saeed
Last position:
Working Student – Research Assistant at NSQUARED Lab, Friedrich-Alexander University
- Design and implementation of the DEXTER project, a tendon-driven robotic hand mimicking human hand biomechanics
- Design and 3D printing of the hand along with associated control algorithms and circuitry
Ashmi Jha
Last position:
Software Developer at Myrix Labs
- Engineered high-performance APIs with FastAPI + MongoDB, integrating live weather data (NOAA, NWS).
- Developed an AI chatbot with OpenAI APIs — context-aware by location, profession & interests.
- Created admin dashboard APIs for real-time monitoring and zero-downtime configuration.
- Integrated Stripe Embedded Payments with secure transactions & subscription management via webhooks.
Vasuraj Bhatia
Last position:
Cloud Data Analyst at Bhatia Reply
- Analyzed 50K+ customer records using SQL and Python in a cloud services firm, identifying trends
- Designed interactive Tableau dashboards for sales and marketing stakeholders, reducing report
- Developed ARIMA and AutoARIMA time series models to forecast AWS resource utilization, cutting
- Automated ETL pipelines with Python, improving workflow efficiency by 20% for scalable data
- Collaborated with DevOps teams to deploy 3 machine learning models in production using Docker
Ekaansh Khosla
Last position:
Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg
- Developed a RAG system to automate student queries with 96% accuracy, built using FastAPI and LangChain and deployed on the university server with Docker.
- Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
- Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS
Discover over 15,000 top freelancers
Statistics of experts using TensorFlow
Aggregated from the professional profiles of matched freelancers.
Experience
6 years (Germany: 12 years)
Position duration
1.1 years (Germany: 2 years)
Positions per freelancer
4 (Germany: 8)
Top business areas
Product Development, Information Technology, Research and Development
Top industries
Information Technology, Education, Manufacturing
Certification focus areas
Business Intelligence, Information Technology, Research and Development
Bachelor's degree or higher
100% (Germany: 98%)
Master's degree or higher
86% (Germany: 81%)
Certifications per freelancer
2
Most common languages
German, English, Hindi
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 Nuremberg 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 Nuremberg using TensorFlow
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 TensorFlow does
TensorFlow is a machine learning framework used to train, evaluate, and serve models for vision, language, forecasting, and anomaly detection. It fits projects that need repeatable pipelines, production deployment, and tight control over model behavior.
Common project work
- Build and fine-tune neural network models
- Prepare training and validation pipelines
- Export models for serving or edge use
- Integrate models into Python services and data flows
- Debug performance, shape issues, and training instability
Ecosystem and tooling
Strong specialists work across TensorFlow, Keras, TensorBoard, and related Python tools such as NumPy and Pandas. They also know how to package models, manage versioning, and connect training code with cloud or container-based runtime environments.
When companies bring in help
Companies usually look for freelance TensorFlow expertise when a model needs to move from a notebook into a real system. It also helps when a team needs support for legacy TensorFlow code, migration from other ML stacks, or a short-term push on a specific model pipeline.
What strong specialists deliver
Good professionals write clean training code, test data assumptions, and keep model behavior understandable. They document inputs, outputs, and deployment steps so teams can maintain the work after handover.
Nuremberg delivery
In Nuremberg, TensorFlow experts often support industrial, logistics, and software teams that need reliable machine learning in existing systems. Many tasks can be handled remotely, while workshop sessions or production reviews may benefit from on-site collaboration in German or English.
Frequently asked questions
Not sure where to start with TensorFlow? These answers cover the essentials.
TensorFlow is used to train and run machine learning models for tasks like image classification, text processing, forecasting, and anomaly detection. Companies choose it when they need a framework that can move from experimentation into production with clear pipelines and serving options.
TensorFlow is often chosen for production workflows, deployment tooling, and established enterprise setups. PyTorch is popular for research-style experimentation, but many teams prefer TensorFlow when they need stable training code, model export, and integration with serving systems.
A strong TensorFlow specialist usually works comfortably in Python and understands data prep, feature engineering, and model evaluation. Useful adjacent skills include Keras, TensorBoard, NumPy, Pandas, Docker, and basic cloud or API integration.
TensorFlow work can start at different levels depending on the task. A simple model prototype may need less depth, while production training pipelines, transfer learning, or model serving need a specialist who has shipped similar work before.
Yes, most TensorFlow work can be done remotely because the core tasks are code, data, and model reviews. In Nuremberg, on-site time can still help for stakeholder workshops, data access discussions, or release planning with local teams.
For TensorFlow, look for clean training code, reproducible results, and a clear explanation of data assumptions. Strong work also includes validation, error handling, model versioning, and documentation that lets your team maintain the solution.
Yes, TensorFlow commonly uses Keras for building and training models with a simpler API. That matters because many teams want fast model development without losing the ability to move into production workflows later.
TensorFlow specialists are often useful in industries that rely on automation, forecasting, inspection, or process data. In Nuremberg, that can include manufacturing, logistics, software, and technical service teams that need practical machine learning support.
The average hourly rate of freelancers in Nuremberg, Germany who have used TensorFlow in their recent projects is 55 €, which corresponds to a daily rate of about 440 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used TensorFlow in their recent projects, 100% hold at least a Bachelor's degree and 86% hold at least a Master's degree.
On average, freelancers in Nuremberg, Germany who have used TensorFlow in their recent projects have 6 years of professional experience, with a single engagement typically lasting around 1.1 years.
The most common languages among freelancers in Nuremberg, Germany who have used TensorFlow in their recent projects are German (100%), English (100%), and Hindi (29%).
The most common industries among freelancers in Nuremberg, Germany who have used TensorFlow in their recent projects are Information Technology (86%), Education (43%), and Manufacturing (43%).
The most common business areas among freelancers in Nuremberg, Germany who have used TensorFlow in their recent projects are Product Development (100%), Information Technology (86%), and Research and Development (71%).
Main locations of FRATCH Experts, who have recently used TensorFlow
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 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
