19.10.2026 aktualisiert
100 % verfügbar
Senior Engineer with 10+ years experience in AI engineering with strong project management skills
Aachen, Deutschland
Nur Remote
BSc. Economics, MSc. Information ManagementSkills
Argo CDGitHub ActionsMLflowOpenTelemetryHelmBedrockMLOpsSageMakerGCPAzure DevOpsLangChainClean CodeAgile MethodologieKünstliche IntelligenzApache Airflow
I am a senior professional with international experience who combines over 10 years of data- and AI engineering know-how with business acumen, project management and technical leadership skills. My skills include:
- Proramming Languages: Python, SQL, TypeScript, Go
- Frameworks: Bedrock, SageMaker, Kubeflow, MLflow, LangChain, LangGraph, Pydantic AI, fastai, PyTorch, Scikit-Learn, FastAPI, AsyncIO, Streamlit, Gradio, Svelte, Claude Code, GitHub Copilot CLI
- Data: Snowflake, MongoDB, Spark, Kafka, Airflow, pandas, polars
- Technologies: AWS, Azure, GCP, Docker, Kubernetes/OpenShift, Helm, Argo, Flux, Terraform/Terragrunt, AWS CloudFormation/CDK, Ansible, OpenTelemetry, Prometheus, Grafana, GitHub/Gitlab/Azure/Tekton CI/CD, Linux
- Other: Software Engineering & Architecture, Clean Code, DevOps, MLOps, Generative AI, Machine Learning, Data Engineering, Project Management (PMP), Agile (Scrum, SAFe)
I have worked in insurance, chemicals, consulting (manufacturing, logistics, automotive), and for a software company building an sovereign AI platform hosted in Germany
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2024
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Designed, built and operated a sovereign AI platform; improved observability of
document parsing and indexing pipelines to identify ingestion bottlenecks and reduce pipeline latency.
Designed and built a Snowflake-based data platform that lets analytics teams in the logistics industry
ingest, transform and serve data products for high-impact use cases
Led development of an AI agent system, built on Azure OpenAI, for data analysis
in the automotive industry that turns complex datasets into accessible insights, gives non-technical
stakeholders direct data access and significantly reduces manual workload for data analysts.