Amazon Bedrock Experts in Berlin
, matched in minutes from over 15,000 CVsHire experts who connect foundation models to secure applications, design retrieval-augmented generation with Amazon OpenSearch Service, and build evaluation workflows with AWS tooling. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Amazon Bedrock
Sunish B.
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.
Hamza K.
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 I.
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 P.
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
Viktor S.
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
Douglas N.
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 H.
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 K.
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 19 Sep 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Amazon Bedrock 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%)
- Healthcare (50%)
- Professional Services (50%)
- Banking and Finance (38%)
- Retail (38%)
- Utilities (38%)
- Automotive (25%)
- Education (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Amazon Bedrock does
Amazon Bedrock is an AWS managed service for building generative AI applications with foundation models through a unified API. Teams can work with models from providers such as Anthropic, Meta, Mistral AI and Amazon, while keeping model access, security and application operations within their AWS environment. Common outcomes include assistants, content workflows, enterprise search and document automation.
Core capabilities
Bedrock covers more than model access. Its experts configure model inference, prompt templates, Guardrails for Amazon Bedrock, Knowledge Bases, Agents and model customization where appropriate. They connect these services to identity controls, storage, observability and application APIs so a prototype can become a controlled production service.
- Select and test foundation models for a defined business task
- Build retrieval-augmented generation with trusted company content
- Configure agents, tools, guardrails and response evaluation
- Integrate Bedrock workloads with existing AWS applications
Ecosystem and tooling
Strong work with Amazon Bedrock usually involves AWS Lambda, Amazon API Gateway, Amazon S3, Amazon OpenSearch Service, Amazon CloudWatch and AWS Identity and Access Management. Specialists may also use Python or TypeScript SDKs, infrastructure as code, vector stores, tracing tools and automated evaluation pipelines. The right combination depends on data sensitivity, latency, model choice and operational ownership.
When companies need experts
Freelance expertise is useful when a company has a promising use case but needs a safe path to production. Typical signals include unclear model selection, inconsistent answers, weak grounding in internal data or uncertainty around access policies and operating costs. In Berlin, experts often collaborate remotely or on site with product, data and security teams, with German or English communication depending on the organisation.
- Move a proof of concept into a tested application
- Connect private documents without exposing sensitive content
- Replace manual prompt experiments with repeatable evaluation
- Establish monitoring, release and fallback processes
What strong professionals deliver
A capable Amazon Bedrock professional starts with the business task and measurable acceptance criteria, not a preferred model. They compare quality, speed, context limits, data handling and operating trade-offs, then document why a model and retrieval approach were selected. They also design failure handling, permission boundaries and human review for sensitive workflows.
Choosing the right specialist
Review evidence of shipped Bedrock applications, not only general AWS exposure or prompt demonstrations. Ask how the specialist tested hallucinations, protected customer data, managed model changes and measured answer quality. Experience with APIs, event-driven services, databases, security and delivery automation matters because Bedrock is one part of a wider application. A clear technical plan should explain assumptions, risks, handover and how the team will operate the result after delivery.
Frequently asked questions
Quick answers to the questions that come up most around Amazon Bedrock.
Companies use Amazon Bedrock to add generative AI to applications without hosting foundation models themselves. Common projects include support assistants, document extraction, semantic search, summarisation, content workflows and agent-based operations grounded in private data.
Amazon Bedrock is generally suited to consuming and orchestrating foundation models through managed APIs, agents, knowledge bases and guardrails. Amazon SageMaker offers broader control for data science workflows, custom training and model deployment, so the choice depends on how much model and infrastructure control the project requires.
An Amazon Bedrock specialist should usually understand AWS identity and networking, serverless or container-based application delivery, API design and data storage. Retrieval work may also require vector search, document processing, evaluation methods and secure handling of business data.
The required depth depends on the risk and scope of the use case. A simple internal prototype may need strong AWS and application skills, while a customer-facing or regulated workflow calls for proven Amazon Bedrock delivery, evaluation, security design and production operations.
Yes. Amazon Bedrock work is well suited to remote collaboration because development, testing and AWS access are managed online. Teams in Berlin should agree early on language, documentation, access procedures, meeting overlap and any need for on-site workshops.
Ask for a clear explanation of model selection, grounding, evaluation, privacy controls and failure handling in a comparable project. A strong Amazon Bedrock professional can show how they tested responses, monitored production behaviour and made the system maintainable for the internal team.
Amazon Bedrock provides access to models from multiple providers through AWS, which can make comparison and switching easier than building directly around one vendor. Portability is not automatic, however, because prompts, tool calls, context handling and output behaviour can differ between models.
AWS Bedrock is a common informal name for Amazon Bedrock, the managed AWS service for foundation-model applications. They usually refer to the same product, but project documents should use the official name to avoid confusion with unrelated AWS services.
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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