Amazon Bedrock Experts in Berlin
matched in minutes by AIHire experts who design foundation-model applications, retrieval-augmented generation workflows and secure AWS integrations with Amazon Bedrock. FRATCH connects you quickly with vetted, available freelancers whose skills match your project.
Meet FRATCH Experts in Berlin, who have recently used Amazon Bedrock
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
Hamza K.
Last position:
Academic Research Contributor in Health Sector (Volunteer) at n/a
- 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.
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.
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 SÃœD, 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 SÃœD 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 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 (Germany: 16 years)
Position duration
2.3 years (Germany: 2 years)
Positions per freelancer
9 (Germany: 11)
Top business areas
Product Development, Information Technology, Project Management
Top industries
Information Technology, Healthcare, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
75% (Germany: 71%)
Doctorate
13% (Germany: 18%)
Certifications per freelancer
3
Most common languages
English, German, Urdu
Speak two or more languages
88% (Germany: 97%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Berlin 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.
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 29 Oct 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%)
- Banking and Finance (38%)
- Professional Services (38%)
- Retail (38%)
- Utilities (38%)
- Education (25%)
- Energy (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Foundation model access
Amazon Bedrock is a fully managed AWS service for building generative AI applications with foundation models through a common API. Teams can work with models from providers such as Anthropic, Meta, Amazon and Cohere without managing model infrastructure. The service supports experimentation, production deployment and governance within an AWS environment.
Applications and workflows
Bedrock supports conversational assistants, document question answering, content generation, summarisation and classification. It is also used for task automation that connects language models with business systems through tool use and agents.
- Retrieval-augmented generation with enterprise knowledge
- Customer support and internal search assistants
- Document extraction and summarisation workflows
- Agent-based actions across business services
Models and tooling
Professionals work with the Bedrock Runtime API, model-specific request formats and AWS SDKs. Common surrounding services include Amazon S3, AWS Lambda, Amazon OpenSearch Service, Amazon Knowledge Bases, Amazon CloudWatch and AWS Identity and Access Management. Model evaluation, prompt management, guardrails and logging are central to a reliable implementation.
Security and operations
Bedrock projects require careful handling of data, permissions and model responses. Specialists design IAM policies, private network paths, encryption, audit trails and guardrails that fit the organisation’s risk profile. They also establish evaluation sets, fallback behaviour, observability and controls for cost and latency.
When expertise helps
Freelance expertise is useful when a team needs to validate a use case, connect private data or move a prototype into production. It can also help when several models must be compared, an existing chatbot needs better retrieval, or internal AWS teams lack capacity.
- Selecting models for quality, privacy and response speed
- Designing prompts, context windows and output formats
- Connecting Bedrock to APIs, data stores and business processes
- Testing grounded answers and reducing unsafe responses
Strong professionals
Strong Amazon Bedrock professionals understand both generative AI behaviour and AWS production practice. They can explain why a model, retrieval design or agent pattern fits the use case, then deliver maintainable services and clear handover documentation. For companies in Berlin, experience with distributed teams, English communication and local on-site collaboration can support smooth delivery.
Frequently asked questions
Quick answers to the questions that come up most around Amazon Bedrock.
Amazon Bedrock is used to build generative AI applications with foundation models managed through AWS. Typical projects include assistants, enterprise search, document processing, content generation and agents that call business tools.
Amazon Bedrock gives teams access to several foundation models through AWS services and controls. Compared with a direct provider integration, it can simplify identity, networking, governance and integration with existing AWS workloads, while a direct API may offer a narrower or more specialised setup.
A strong Amazon Bedrock specialist usually understands AWS Lambda, S3, IAM, API design and observability. Experience with vector search, embeddings, retrieval-augmented generation, prompt evaluation and data protection is also valuable.
The right level depends on the scope. A proof of concept may need strong prompt and API skills, while a production system needs deeper knowledge of AWS security, retrieval quality, model evaluation, resilience and operational monitoring.
Yes. Amazon Bedrock work is well suited to remote collaboration because design, coding, testing and AWS reviews can be handled in shared environments. On-site workshops in Berlin can still help with data access, stakeholder alignment and defining responsible-use requirements.
Ask for concrete examples of Amazon Bedrock systems they designed and how they measured answer quality. Look for clear decisions around model selection, grounding, access control, failure handling and monitoring rather than a focus on prompts alone.
Amazon Bedrock reduces the need to host and maintain foundation-model infrastructure, but it does not remove every machine learning requirement. Teams may still need custom data pipelines, evaluation processes, specialised models or separate services for traditional prediction tasks.
Before starting Amazon Bedrock work, freelancers should clarify the target users, data sources, model constraints, AWS account structure and production expectations. They should also understand whether the project needs an assistant, retrieval workflow, agent, or a controlled combination of these patterns.
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, 75% 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 2.3 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 Urdu (25%).
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 Banking and Finance (38%).
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.
Berlin 
Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
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FRATCH CEO
