25.02.2026 aktualisiert
100 % verfügbar
Senior AI Engineer & Machine Learning Researcher
Muenchen, Deutschland
Weltweit
Doctoral Researcher (Computer Science)Skills
JavaAPIsKünstliche IntelligenzAlgorithmusAmazon Web ServicesComputer VisionC++DatenbankenInhaltsanalyseDateninfrastrukturETLDatenmanagementDatensystemeDevOpsDistributed Computing
Machine Learning Engineering
Expertise in building and deploying large-scale ML systems with PyTorch, TensorFlow, and Transformers, including LLM applications and retrieval-augmented workflows
Data Infrastructure & Processing
Proficiency in scalable data processing using ElasticSearch, Spark, distributed systems, and maintaining 40+ TB research infrastructure
Production Engineering & DevOps
Experience with Python services, APIs, CI/CD pipelines, AWS, GCP, Docker, and monitoring systems for reliable ML deployments
Programming Languages
Advanced skills in Python, C++, Java, Scala, and R for diverse ML and data science applications
Hugging Face Ecosystem
Deep knowledge of Hub/Transformers workflow including model repositories, versioning, and model cards
Data Systems & Databases
Experience with vector indexes, NoSQL databases, and ETL pipelines for large-scale data management
Research & Documentation
Strong background in scientific data pipelines, reproducible workflows, and clear technical documentation
Computer Vision
Development of algorithms for panoramic video processing and visual content analysis
Expertise in building and deploying large-scale ML systems with PyTorch, TensorFlow, and Transformers, including LLM applications and retrieval-augmented workflows
Data Infrastructure & Processing
Proficiency in scalable data processing using ElasticSearch, Spark, distributed systems, and maintaining 40+ TB research infrastructure
Production Engineering & DevOps
Experience with Python services, APIs, CI/CD pipelines, AWS, GCP, Docker, and monitoring systems for reliable ML deployments
Programming Languages
Advanced skills in Python, C++, Java, Scala, and R for diverse ML and data science applications
Hugging Face Ecosystem
Deep knowledge of Hub/Transformers workflow including model repositories, versioning, and model cards
Data Systems & Databases
Experience with vector indexes, NoSQL databases, and ETL pipelines for large-scale data management
Research & Documentation
Strong background in scientific data pipelines, reproducible workflows, and clear technical documentation
Computer Vision
Development of algorithms for panoramic video processing and visual content analysis
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2015
Sprachen
DeutschverhandlungssicherEnglischverhandlungssicher
Projekthistorie
Lead a small team building LLM-based applications; set up evaluation pipelines to track quality and reliability. Built retrieval-augmented workflows and integrated models into production services.
Built and deployed ML systems for document processing serving millions of documents. Delivered solutions to German law firms and insurance companies; managed full product lifecycle from data pipelines to deployment.
Built enterprise search infrastructure with ElasticSearch; designed data ingestion and streaming pipelines. Developed ML solutions for NLP and computer vision using Python and TensorFlow/PyTorch.