26.03.2026 aktualisiert
100 % verfügbar
DevOps/AI Engineer
Wien, Österreich
Nur Remote
Master of Science (Information and Computer Engineering)Über mich
I’m an AI and Cloud Engineer with expertise in building and scaling AI-driven systems. I specialize in integrating Generative AI into products, designing resilient cloud-native infrastructures, and streamlining deployments across multi-cloud and Kubernetes environments.
Skills
APIsKünstliche IntelligenzAlgorithmusAmazon Web ServicesComputer VisionAutomatisierungWirtschaftliche EffizienzCloud ComputingContinuous IntegrationDevOpsForecastingSkalierbarkeitInfrastrukturLineare OptimierungMachine Learning
Cloud Infrastructure Management
Deployment, management, and optimization of infrastructure across AWS, GCP, Yandex, Selectel, and OCI, improving scalability, performance, and cost efficiency
AI and Machine Learning Integration
Integration of GPT-based models into production systems, leveraging LangChain, LangGraph, and Agents to enhance AI-driven capabilities
CI/CD Pipeline Automation
Design and maintenance of CI/CD pipelines to streamline testing, builds, and deployments, ensuring rapid and reliable software delivery
Container Orchestration
Orchestration of containerized workloads using Docker and Kubernetes, managing 8 clusters across multi-cloud environments
Backend Development
Design, development, and maintenance of over 25+ FastAPI endpoints, ensuring robust and scalable API services
Data Pipeline Engineering
Building and management of Kafka-based embedding pipelines for document and ticket ingestion, including chunking, embeddings, summarization, and enrichment
Machine Learning Model Development
Building predictive models to forecast process events, contributing to enhanced operational efficiency
Computer Vision Engineering
Optimization of object detection algorithms using linear optimization and YOLO for enhanced pixel intensity and accuracy
Deployment, management, and optimization of infrastructure across AWS, GCP, Yandex, Selectel, and OCI, improving scalability, performance, and cost efficiency
AI and Machine Learning Integration
Integration of GPT-based models into production systems, leveraging LangChain, LangGraph, and Agents to enhance AI-driven capabilities
CI/CD Pipeline Automation
Design and maintenance of CI/CD pipelines to streamline testing, builds, and deployments, ensuring rapid and reliable software delivery
Container Orchestration
Orchestration of containerized workloads using Docker and Kubernetes, managing 8 clusters across multi-cloud environments
Backend Development
Design, development, and maintenance of over 25+ FastAPI endpoints, ensuring robust and scalable API services
Data Pipeline Engineering
Building and management of Kafka-based embedding pipelines for document and ticket ingestion, including chunking, embeddings, summarization, and enrichment
Machine Learning Model Development
Building predictive models to forecast process events, contributing to enhanced operational efficiency
Computer Vision Engineering
Optimization of object detection algorithms using linear optimization and YOLO for enhanced pixel intensity and accuracy
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2023
Sprachen
DeutschgutEnglischMuttersprache
Projekthistorie
Design and maintain CI/CD pipelines, deploy and manage cloud infrastructure across multiple cloud providers, orchestrate containerized workloads, support applications with monitoring and alerting, integrate generative AI models, develop AI assistants, build RAG pipeline engineering, and set up AI observability and validation systems
Design, develop, and maintain over 25+ FastAPI endpoints, integrate Generative AI into products using advanced tools, develop and maintain CI/CD pipelines, engineer and manage streaming data pipelines using Kafka, work with cross-functional teams, and validate AI models using LangSmith
Built predictive models for process event forecasting, led development of process monitoring tool using Vue.js, acted as Product Owner for software development, performed data analysis and KPI definition, conducted requirement analysis and data modeling, and implemented CI/CD pipelines for continuous integration and deployment