TensorFlow Experts in Dortmund
, matched in minutes from over 15,000 CVsHire experts who train and deploy production machine learning models, build computer vision pipelines and optimize TensorFlow Serving workflows. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Dortmund, who have recently used TensorFlow
Ashwin P.
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.
Nemanja M.
Last position:
AI Engineer / Senior Backend Engineer at Intelycx
Manufacturing intelligence platform with enterprise workflows, RAG, real-time AI assistant features, and multi-repository backend architecture.
- Built and extended production AI/backend services with Django, DRF, FastAPI, GraphQL, Celery, PostgreSQL, MySQL, Redis, and WebSockets across a modular multi-repository platform.
- Contributed to ARIS V2, a real-time manufacturing AI assistant using LangChain, LangGraph, MCP tool orchestration, planning/execution flows, OpenAI, AWS Bedrock, Qdrant, and Elasticsearch/OpenSearch-backed retrieval.
- Supported rollout expansion from ARIS V1 in 4 of 17 client production plants to ARIS V2 currently active in 13 of 17 plants, increasing real-world deployment coverage to more than 50% of the client footprint.
- Worked on document-grounded RAG functionality including ingestion, OCR, chunking, embeddings, indexing, retrieval, reranking, and grounded answer generation for industrial workflows.
Stack: Python, Django, DRF, FastAPI, LangChain, LangGraph, GraphQL, Celery, WebSockets, OpenAI, AWS Bedrock, Qdrant, Elasticsearch/OpenSearch, PostgreSQL, MySQL, Redis, Docker.
Laurin H.
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.
Mesut Y.
Last position:
Solution Architect Computer Vision for Stores at Schwarz IT (Lidl/Kaufland)
- Expansion and support of the product portfolio for video analytics and Computer Vision
- Requirements gathering and requirements engineering
- Consulting, project management, and coordination of pilots and the 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 POS software, Atlassian JIRA
Patrik G.
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
Mohammed A.
Last position:
Data Scientist & Energy Consultant at Accenture GmbH
Ilja L.
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 TensorFlow
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 12 years)
Position duration
1.9 years
Positions per freelancer
10 (Germany: 8)
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Professional Services, Education
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
86% (Germany: 97%)
Master's degree or higher
29% (Germany: 82%)
Doctorate
14% (Germany: 17%)
Certifications per freelancer
2
Most common languages
German, English, Arabic
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Dortmund are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Discover detailed TensorFlow rate benchmarks:
Explore rate insightsAverage rates of experts in Dortmund 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 16 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
TensorFlow 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 (86%)
- Professional Services (71%)
- Education (57%)
- Healthcare (57%)
- Automotive (43%)
- Energy (43%)
- Media and Entertainment (43%)
- Retail (43%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What TensorFlow does
TensorFlow is an open-source machine learning framework used to build, train and deploy neural networks. Teams use it for image classification, speech processing, recommendation systems, forecasting and natural language applications. Its graph-based execution, automatic differentiation and hardware acceleration support experiments as well as production workloads.
Core ecosystem
TensorFlow includes tools for data preparation, model training, evaluation and serving. Strong specialists often work with Keras for model design, TensorFlow Data for input pipelines, TensorBoard for experiment tracking and TensorFlow Lite for edge inference. They may also connect models to Python services, GPUs, cloud storage and containerized deployment workflows.
Typical deliverables
- Image, video and document classification models
- Object detection and segmentation pipelines
- Forecasting and anomaly detection systems
- Recommendation and ranking models
- Exported models for cloud, mobile or edge inference
The right approach depends on data quality, latency, explainability and the cost of training and inference. Professionals should define measurable validation criteria before tuning a model.
When to hire specialists
Companies bring in freelance TensorFlow specialists when an internal team needs help turning research into a reliable product. This can include preparing labeled data, selecting an architecture, reducing inference latency or moving a notebook prototype into a monitored service. In Dortmund, remote collaboration can work well for distributed teams, while on-site workshops may help with data, domain and stakeholder alignment.
Skills that matter
Look for experience with Python, NumPy, pandas and scientific computing, together with solid knowledge of neural network design and evaluation. Production work may require Docker, Kubernetes, cloud machine learning services, REST or gRPC APIs and CI/CD. Familiarity with PyTorch is also useful when a project compares frameworks or transfers an existing model.
How to assess quality
A strong professional explains why a model fits the data and business constraint instead of presenting accuracy alone. Ask how they prevent leakage, handle class imbalance, reproduce training runs and monitor drift after release. Reviewable notebooks, clear data contracts, documented experiments and a tested serving path are better evidence than a polished demo.
Frequently asked questions
Need clarity? These are the questions we hear most often about TensorFlow.
TensorFlow is commonly used for image and speech recognition, recommendation engines, forecasting, anomaly detection and natural language applications. It supports the full path from data preparation and model training to deployment on servers, mobile devices and edge hardware.
TensorFlow and PyTorch both support deep learning, automatic differentiation and hardware acceleration. TensorFlow is often selected for its production tooling, deployment options and established serving ecosystem, while PyTorch may be preferred for flexible experimentation; the project’s team, existing models and deployment target should guide the choice.
A strong TensorFlow specialist should also understand Python data workflows, statistics, feature preparation and model evaluation. For production delivery, experience with APIs, containers, cloud infrastructure, experiment tracking and monitoring is highly valuable.
The right TensorFlow experience depends on the risk and scope of the work, not simply on the size of the model. A prototype may need strong data and modeling judgment, while a regulated or high-volume service also requires reproducibility, security, observability and reliable deployment.
Yes, TensorFlow work is usually well suited to remote collaboration when datasets, environments and acceptance criteria are clearly documented. Dortmund teams should agree on communication routines, data access and language expectations early, with on-site sessions reserved for sensitive data or complex stakeholder workshops.
TensorFlow Lite is useful when a trained model must run on a phone, embedded device or other edge system. It can reduce dependency on a remote service, but specialists still need to consider model size, supported operations, memory use, battery impact and device-level testing.
Review whether TensorFlow work includes sound data splits, meaningful validation, reproducible training and tests for real operating conditions. Ask the specialist to explain failure cases, latency trade-offs, monitoring plans and how the model will be updated without degrading results.
Keras is a high-level deep learning API commonly used with TensorFlow for defining, training and evaluating models. It can make model code easier to read, while TensorFlow supplies broader capabilities for data pipelines, acceleration, export and production serving.
The average hourly rate of freelancers in Dortmund, Germany who have used TensorFlow in their recent projects is 81 €, which corresponds to a daily rate of about 652 € based on an 8-hour working day.
Of the freelancers in Dortmund, Germany who have used TensorFlow in their recent projects, 86% hold at least a Bachelor's degree, 29% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Dortmund, Germany who have used TensorFlow in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Dortmund, Germany who have used TensorFlow in their recent projects are German (100%), English (100%), and Arabic (14%).
The most common industries among freelancers in Dortmund, Germany who have used TensorFlow in their recent projects are Information Technology (86%), Professional Services (71%), and Education (57%).
The most common business areas among freelancers in Dortmund, Germany who have used TensorFlow in their recent projects are Information Technology (86%), Product Development (86%), and Research and Development (86%).
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.
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