Amazon Bedrock Experts in Berlin
in minutes from 15,000 CVs with the power of AIHire experts who design Bedrock-based generative AI solutions, connect foundation models to your data, and build secure production workflows for Berlin teams. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Amazon Bedrock
Sunish Bharathan
Last position:
AtlasMind - Production AI assistant for Jira at Mercedes Benz Innovation Labs Gmbh
- Converts natural language into JQL using RAG and pgvector. Returns structured JSON with a query, chart spec, and plain-text answer. A two-stage router answers general questions without touching the JQL pipeline at all.
- Interchangeable LLM backends: Ollama, vLLM, Groq, Anthropic Claude, AWS Bedrock - switchable at runtime, no code changes. Self-healing JQL: on Jira validation failure, feeds error back to LLM, retries up to 4 times. OCI Vault for secrets. Deployed on Oracle Cloud A1 with GPU inference over Tailscale private network. Open source.
Viktor Shcherban
Last position:
AI Engineer (Freelance) at Empion
Enterprise AI content categorization and AI-powered web research.
- Built multi-LLM evaluation framework with annotated data
- Iterated LLM error rates based on annotated datasets
- Implemented AI-powered web research pipeline Stack: LLM, evals, OpenRouter, Python, Node.js, TypeScript, React
Hamza Khan
Last position:
Academic Research Contributor in Health Sector (Volunteer)
- Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
- Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.
Nune Isabekyan
Last position:
Fractional CTO at OpsWorker
OpsWorker turns Kubernetes alerts into root-cause analyses, on top of the monitoring a team already runs. I lead the technical side: the agent architecture, the AWS infrastructure it runs on (fully inside EU regions), and the engineering decisions behind it, read-only in the cluster by default, human in the loop for judgment. The stack underneath: Amazon Bedrock and Bedrock AgentCore, agents built with the Strands Agents SDK, the Claude and OpenAI APIs, and the Kubernetes API.
Jeet Pattanaik
Last position:
Global SAP Program Manager at Aldi Sued
- Pioneered first enterprise AI-SAP integration at ALDI SÜD, deploying AI-driven automation within one of retail's largest SAP S/4HANA programs, eliminating 50% of manual pre-cycle validation time and establishing replicable automation framework across 11 countries
- Led end-to-end SAP project lifecycle management for implementations across SAP S/4HANA and Manhattan Systems, supporting 7,300+ ALDI SÜD locations globally across Europe and Australia
- Served as primary executive liaison to C-level stakeholders across 11 countries for strategic SAP transformation programs
- Orchestrated automation, performance, and volume testing for critical releases, maintaining 99.9% system SLA compliance during peak retail periods
- Managed cross-functional international teams of 15+ specialists, delivering projects 20% faster than industry benchmarks
- Standardized SAP processes across 11 countries as part of one of retail's largest SAP implementations
- Directly managed €2M budget with 98% allocation accuracy across 12 concurrent projects
- Reduced SAP S/4HANA migration costs by 18% through strategic vendor contract renegotiations and optimization
Douglas Norberto
Last position:
Independent Data Analyst – Tech & Life Sciences at p53-REACT
- Supported partner centers in adopting AI and LLMs-based predictive models for small-molecule discovery and therapeutic response using their genomic databases, designing failure modes for AI, and reducing feature-engineering time by 25%.
- Performed Python analysis and improved domain motion coverage by 30% through integration of free energy data with conformational modeling, mapping heterogeneous protein states for accurate structure–function analysis.
Adam Hammad
Last position:
AI Software Engineer at Adevinta
- React
- Python
- Langchain
- GPT
- Typescript
- AWS
- Bedrock
- Docker
- Developing AI powered marketplace tools for a range of solutions across the Adevinta ecosystem.
Kashaf Khan
Last position:
AI Consultant / Expert at Siemens Mobility
- Evaluated 45+ AI use cases and developed a prioritization framework for Siemens’ internal AI roadmap.
- Tested internal tools like DRIM, SiemensGPT, Microsoft Copilot; presented evaluation outcomes to stakeholders.
- Identified performance gaps and improved tool adoption by 65%.
- Supported AI knowledge-sharing initiatives, led tool onboarding sessions, and improved team AI literacy.
- Collaborated with engineering, procurement, and digital teams on tool feedback and strategy alignment.
Discover over 15,000 top freelancers
Statistics of experts using Amazon Bedrock
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
2.1 years
Positions per freelancer
9
Top business areas
Product Development, Information Technology, Project Management
Top industries
Information Technology, Healthcare, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
63%
Doctorate
13%
Certifications per freelancer
3
Most common languages
English, German, Armenian
Speak two or more languages
88%
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 Berlin 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 Berlin using Amazon Bedrock
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 Bedrock is
Amazon Bedrock is AWS’s managed service for building generative AI features with foundation models. It lets teams work with models through one API instead of managing model hosting themselves. Companies use it for chat, search, content generation, extraction, and assistant workflows.
Where it fits
- Model access through a single AWS service
- Retrieval with company data for grounded answers
- Prompt design, evaluation, and guardrails
- Streaming responses in apps and internal tools
It is a strong fit when a product team wants to ship fast without running model infrastructure. Berlin companies in SaaS, commerce, media, and mobility often bring in Bedrock specialists for new features that need to stay inside the AWS stack.
Tooling around it
Strong professionals know more than prompts. They work with IAM, VPC setup, Lambda, API Gateway, S3, and vector stores, and they understand model selection across the Bedrock catalog. They also handle logging, tracing, and release-safe rollout patterns.
When to hire help
Teams usually need freelance expertise when a proof of concept must become a real service, when prompts are brittle, or when latency and cost need control. They also bring in specialists for RAG pipelines, document processing, compliance reviews, and integration with existing AWS applications.
What strong experts do
Good Bedrock specialists write clear prompts, test model behavior, and reduce hallucinations with better retrieval and guardrails. They structure data sources well, design fallback paths, and make the system maintainable for other experts to operate later. They also document trade-offs clearly.
Common project shapes
Many Bedrock projects are built as assistants for support, knowledge search, sales enablement, or internal operations. Others focus on automated summarization, classification, or content drafting. The best experts keep the scope tight, the data flow simple, and the AWS architecture clean.
Frequently asked questions
Quick answers to the questions that come up most around Amazon Bedrock.
Amazon Bedrock is used to add generative AI features without managing model hosting. Teams build chat assistants, knowledge search, summarization, extraction, and content workflows on top of AWS services. It is especially useful when the system must connect to company data and stay inside an AWS environment.
AWS Bedrock is the name many teams use informally for Amazon Bedrock. They refer to the same managed service in AWS. In hiring, both terms usually point to the same kind of specialist.
Amazon Bedrock focuses on using foundation models through managed APIs, while SageMaker is broader and often used for training, hosting, and custom machine learning workflows. Bedrock is usually the faster route when the goal is to ship generative AI features. SageMaker matters more when a project needs deeper control over model training or deployment.
A strong Amazon Bedrock specialist should know AWS basics, IAM, S3, Lambda, API Gateway, and security boundaries. Knowledge of RAG, vector databases, prompt design, and evaluation methods is also important. For many projects, Python or JavaScript and experience with application integration are practical plus points.
For a small proof of concept, one experienced Bedrock specialist can often move quickly. For production systems, the work usually needs someone who has shipped retrieval flows, prompt tests, access controls, and monitoring. The harder the data and compliance requirements, the more important proven delivery becomes.
Yes. Amazon Bedrock fits well for Berlin teams that already use AWS and want flexible collaboration across product, data, and cloud specialists. It works both on-site and remotely, as long as the team can align on data access, security, and review cycles.
Look for clear examples of production work, not just demos. A strong Amazon Bedrock freelancer can explain model choice, retrieval design, guardrails, fallback logic, and how they tested output quality. Ask how they handled bad answers, cost control, and integration with existing AWS services.
The most common mistake is treating Amazon Bedrock like a prompt-only tool and skipping data design. Another is launching without retrieval, guardrails, or monitoring, which leads to weak answers and unstable behavior. Good specialists plan for evaluation, access control, and maintainability from the start.
The average hourly rate of freelancers in Berlin, Germany who have used Amazon Bedrock in their recent projects is 96 €, which corresponds to a daily rate of about 767 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Amazon Bedrock in their recent projects, 100% hold at least a Bachelor's degree, 63% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Amazon Bedrock in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Berlin, Germany who have used Amazon Bedrock in their recent projects are English (100%), German (88%), and Armenian (13%).
The most common industries among freelancers in Berlin, Germany who have used Amazon Bedrock in their recent projects are Information Technology (88%), Healthcare (50%), and Professional Services (50%).
The most common business areas among freelancers in Berlin, Germany who have used Amazon Bedrock in their recent projects are Product Development (100%), Information Technology (88%), and Project Management (75%).
Main locations of FRATCH Experts, who have recently used Amazon Bedrock
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
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Philipp Thomaschewski
FRATCH CEO
