19.02.2026 aktualisiert
100 % verfügbar
Data Scientist & AI Engineer
Sindelfingen, Deutschland
Weltweit
Master of Science in Data ScienceÜber mich
Ich bin KI-Ingenieur mit über 1,5 Jahren Erfahrung in Machine Learning, Deep Learning und MLOps. Schwerpunkt liegt auf Python, Zeitreihenanalyse und produktionsreifen ML-Modellen. Erfahrung in Containerisierung, Automatisierung, Deployment, Monitoring und skalierbaren ML-Pipelines.
Skills
JavaJavaScriptPHPKünstliche IntelligenzAmazon Web ServicesData AnalysisAndroid Application DevelopmentAutomatisierungUnit TestingCloud ComputingContinuous IntegrationDatenmanagementDevOpsWeb EntwicklungFinanzsysteme
Machine Learning & Deep Learning
Expertise in developing and deploying ML models, implementing semi-supervised solutions, and creating production-ready Machine Learning pipelines with containerization and automation
Python Development & Data Analysis
Advanced Python programming skills with experience in exploratory data analysis, visualization, MLOps, and building custom modules for improved system reliability
Enterprise AI Systems
Design and implementation of AI-powered enterprise knowledge retrieval systems using RAG pipelines, LLMs, and scalable document preprocessing with vector indexing
MLOps & DevOps
CI/CD pipeline implementation, Docker containerization, Jenkins automation, and Google Cloud Platform deployment for scalable ML workflows
Web Development
Full-stack development using PHP, JavaScript, React, MySQL, and responsive web platform design for financial applications
Software Engineering
Java development, Android application development, Git version control, unit testing, and software development lifecycle management
Data Engineering
Time series analysis, feature engineering, data preprocessing, and database migration with integrity checks
Cloud Technologies
AWS services including SageMaker, Amazon Comprehend, Amazon Rekognition, and Amazon Translate for intelligent application development
Expertise in developing and deploying ML models, implementing semi-supervised solutions, and creating production-ready Machine Learning pipelines with containerization and automation
Python Development & Data Analysis
Advanced Python programming skills with experience in exploratory data analysis, visualization, MLOps, and building custom modules for improved system reliability
Enterprise AI Systems
Design and implementation of AI-powered enterprise knowledge retrieval systems using RAG pipelines, LLMs, and scalable document preprocessing with vector indexing
MLOps & DevOps
CI/CD pipeline implementation, Docker containerization, Jenkins automation, and Google Cloud Platform deployment for scalable ML workflows
Web Development
Full-stack development using PHP, JavaScript, React, MySQL, and responsive web platform design for financial applications
Software Engineering
Java development, Android application development, Git version control, unit testing, and software development lifecycle management
Data Engineering
Time series analysis, feature engineering, data preprocessing, and database migration with integrity checks
Cloud Technologies
AWS services including SageMaker, Amazon Comprehend, Amazon Rekognition, and Amazon Translate for intelligent application development
Sprachen
DeutschverhandlungssicherEnglischverhandlungssicher
Projekthistorie
Identifying energy consumption of manufacturing processes with NILM & AI. Implemented semi-supervised ML solution for high-frequency time-series data with 90.7% accuracy and containerized end-to-end ML workflow
Built custom PyPAC module for Modbus communication reliability, accelerated ML delivery by 40% with CI/CD pipelines, and enhanced process issue detection by 23% using clustering and decision-tree models
Created online platform for vehicle financing supporting 3,000+ monthly transactions with real-time status tracking and migrated legacy databases with data integrity checks