Machine Learning Engineer
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- 81671 München
- Nähe des Wohnortes
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- 11.06.2025
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
10/2024 – 12/2024
Tätigkeitsbeschreibung
Developed content recommendation system for SPRINGER to
recommend content (book chapter/journal article) to the user
based on their past interactions. The solution aggregates past
interactions of users in a query vector and performs approximate
nearest neighbor search over a million content embeddings
stored in milvus vector database in real time. Mistral was used to
create content embeddings.
Document Retrieval, Large Language Models, Microsoft Azure
10/2024 – offen
Tätigkeitsbeschreibung
Implemented a validation pipeline for an AI-based summarization
system handling oncology patient documents (e.g., examination
protocols, images, clinician notes) for a large Swiss oncology
company. The solution used humanly rated patient summaries as
references and employed LLM-based evaluation to judge
summary quality. Prompt Engineering techniques were applied to
refine and optimize the summaries. The project leveraged Weave,
Weights & Biases (wandb), OpenAI, Amazon Bedrock, and
Anthropic as part of its technical stack, resulting in a scalable and
robust summarization workflow.
Large Language Models
6/2024 – 10/2024
Tätigkeitsbeschreibung
Implemented a chatbot that automates conversations between
customers and the dealership. It draws on internal documents
and Snowflake data to provide fact-checked answers, while
guardrails aligned with company guidelines ensure high-quality,
compliant, and risk-free responses. The chatbot was deployed on
Azure using Azure Devops.
Large Language Models, Microsoft Azure
3/2024 – 2/2025
Tätigkeitsbeschreibung
Developed an asynchronous, fully automated document
translation pipeline capable of translating documents from 137
countries and 40 languages into German. The system processes
5,000 documents monthly, integrating a fine-tuned YOLO model
for object detection and leveraging Chain of Thoughts (CoT)
reasoning with OpenAI Models. Deployed on Microsoft Azure, the
solution uses Azure Function Apps, Service Bus, Blob Storage, and
related services for reliable and scalable performance.
Large Language Models, Microsoft Azure
9/2023 – 2/2024
Tätigkeitsbeschreibung
- Alleinverantwortlicher ML Engineer für die Konzeption und Implementierung eines komplexen AI-Backends
- Generative AI für Text Generation und Image Captioning
- OCR-Service
-Speech-to-Text-Service
- Infrastruktur-Setup
- CI/CD-Implementierung
- GraphQL-API-Setup
- Entwurf und Implementierung einer Datenstrategie zur Ermöglichung kontinuierlichen Modelltrainings zur Verbesserung von AI Lösungen
Graphql, Computer Vision, Large Language Models, Text-Extraction, Amazon Web Services (AWS)
8/2023 – 9/2023
Tätigkeitsbeschreibung
- Bereitstellung eines Open-Source-LLM in AWS
- Bereitstellung einer Chat-Schnittstelle, die das Open-Source-LLM verwendet
- Implementierung und Bereitstellung einer Retrieval-Augmented-Generation (RAG)-Lösung als containerbasierte Anwendung zur Interaktion mit PDF-Dokumenten
- Die Einhaltung der DSGVO wurde durch Einrichtung einer VPN-Infrastruktur sichergestellt
Amazon Web Services (AWS), Document Retrieval, Langchain, Large Language Models, Natural Language Processing
12/2021 – 8/2023
Tätigkeitsbeschreibung
Machine Learning Model Training & MLOPS focused on NLP including multi node + GPU model, data, and tensor parallelism:
- RLHF training of domain specific LLM
- GPT-3 fine tuning + implementation
- NLP & CV based classification
- Object detection
- OCR
- Named Entity Recognition
- Development of custom python packages for: Data Preparation, ML Training, Information Extraction
- Deployment & Infrastructure (GitLab + AWS)
- Paragraph Segmentation
- Topic Classification
- Multi Document PDF Segmentation
- AWS Service Deployment
Amazon Web Services (AWS), Maschinelles Lernen, Python, Software engineering / -technik
12/2020 – 11/2021
Tätigkeitsbeschreibung
Development of AI / ML applications in a banking context as part of the Incubator Squad:
• Computer Vision
• NLP
Maschinelles Lernen, Python, Software engineering / -technik, Microsoft Azure
6/2019 – 8/2020
TätigkeitsbeschreibungRisk Management & Statistical Analysis for an international, leading bank
Eingesetzte QualifikationenStatistiken
2/2018 – 12/2018
TätigkeitsbeschreibungAudit for international banks and funds in Luxembourg and later in Zurich
Eingesetzte QualifikationenAudits
Ausbildung
Düsseldorf
Dortmund
Über mich
currently work on RLHF in a legal tech company. My high intrinsic
motivation, curiosity, and solution-oriented work style make me an
excellent fit for your position.
Weitere Kenntnisse
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Europäische Union
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