04.10.2026 aktualisiert
100 % verfügbar
AI / ML Software Engineer
Essen, Deutschland
Nur Remote
Bachelor of Materials and Manufacturing Engineering, University of Sao Paulo, Brazil (2017)Skills
Azure DatabricksAutomatic Data Processing EquipmentAPIsKünstliche IntelligenzBig DataWeb ScrapingMiddlewarePythonMachine LearningMicrosoft Business IntelligenceTensorFlowAzure Machine LearningDatenbank-EnginesAutomatisierte DatenverarbeitungBusiness Intelligence Development Studio
AI & Machine Learning
Expertise in building and deploying ML/AI pipelines using Databricks, Azure AI Foundry, MLflow, PyTorch, TensorFlow, scikit-learn, XGBoost, LightGBM, LangChain, and OpenAI API. Proven track record of delivering high-impact AI solutions, including product assortment optimization with an 80M Euro EBIT impact.
Python & Software Engineering
Strong proficiency in Python, SQL, TypeScript, and Bash, with hands-on experience building full-stack applications using FastAPI, Streamlit, and React. Development of scalable, production-ready software across retail, HR tech, and compliance sectors.
Big Data & Distributed Computing
Hands-on experience with PySpark, Databricks, Spark, and Parquet for processing and transforming large-scale product and business data. Architected multi-country ETL frameworks enabling efficient country-level rollouts.
LLM & NLP
Practical experience with LangChain, LlamaIndex, OpenAI API, Hugging Face Transformers, spaCy, and BERT for tasks such as sentiment analysis, emotion recognition, complaint classification, and topic modeling.
Cloud & DevOps
Proficiency in AWS, Azure, GCP, Docker, Podman, GitHub Actions, and GitLab CI/CD for deploying and managing cloud-native applications and automated pipelines.
Databases
Experience with PostgreSQL, MySQL, MongoDB, Redis, FAISS, and ChromaDB for relational, NoSQL, and vector database use cases across various production environments.
Visualization & Business Intelligence
Building end-to-end Power BI dashboards and data visualizations using Tableau, Matplotlib, and Plotly to deliver actionable marketing and business insights.
Infrastructure & Self-Hosting
Self-hosting and deploying full-stack applications on Hetzner VPS using Coolify, Docker Compose, and Traefik, including CI/CD pipelines and automated database migrations.
Web Scraping & Automation
Engineering scalable scraping pipelines with Scrapy, custom middleware, proxy rotation, and automated CAPTCHA-solving for enterprise clients with complex web structures.
Compliance & Regulatory Tooling
Development of Python-based compliance auditing tools using Pandas, SQL, regex, and big-data methods to automate workflows, improve catalog accuracy, and reduce manual effort.
Expertise in building and deploying ML/AI pipelines using Databricks, Azure AI Foundry, MLflow, PyTorch, TensorFlow, scikit-learn, XGBoost, LightGBM, LangChain, and OpenAI API. Proven track record of delivering high-impact AI solutions, including product assortment optimization with an 80M Euro EBIT impact.
Python & Software Engineering
Strong proficiency in Python, SQL, TypeScript, and Bash, with hands-on experience building full-stack applications using FastAPI, Streamlit, and React. Development of scalable, production-ready software across retail, HR tech, and compliance sectors.
Big Data & Distributed Computing
Hands-on experience with PySpark, Databricks, Spark, and Parquet for processing and transforming large-scale product and business data. Architected multi-country ETL frameworks enabling efficient country-level rollouts.
LLM & NLP
Practical experience with LangChain, LlamaIndex, OpenAI API, Hugging Face Transformers, spaCy, and BERT for tasks such as sentiment analysis, emotion recognition, complaint classification, and topic modeling.
Cloud & DevOps
Proficiency in AWS, Azure, GCP, Docker, Podman, GitHub Actions, and GitLab CI/CD for deploying and managing cloud-native applications and automated pipelines.
Databases
Experience with PostgreSQL, MySQL, MongoDB, Redis, FAISS, and ChromaDB for relational, NoSQL, and vector database use cases across various production environments.
Visualization & Business Intelligence
Building end-to-end Power BI dashboards and data visualizations using Tableau, Matplotlib, and Plotly to deliver actionable marketing and business insights.
Infrastructure & Self-Hosting
Self-hosting and deploying full-stack applications on Hetzner VPS using Coolify, Docker Compose, and Traefik, including CI/CD pipelines and automated database migrations.
Web Scraping & Automation
Engineering scalable scraping pipelines with Scrapy, custom middleware, proxy rotation, and automated CAPTCHA-solving for enterprise clients with complex web structures.
Compliance & Regulatory Tooling
Development of Python-based compliance auditing tools using Pandas, SQL, regex, and big-data methods to automate workflows, improve catalog accuracy, and reduce manual effort.
Sprachen
DeutschverhandlungssicherEnglischverhandlungssicherPortugiesischMuttersprache
Projekthistorie
Optimized product assortment in 4 countries leading to 80 million Euro EBIT impact. Developed and deployed ML/AI pipelines on Azure Databricks using PySpark and embedding-based similarity. Implemented AI Observability/Governance module with MLFlow. Architected multi-country ETL Framework. Co-developed and scaled a production full-stack AI application using FastAPI backend and React frontend. Key project: Combining PySpark, embedding-based cosine similarity, and OpenAI/LangChain to turn raw product data into actionable competitor and product-relationship insights.
Developed a digital loyalty card application (Full-Stack Loyalty and Rewards Platform) to help businesses create loyalty reward systems for customer retention. Designed and built a full-stack SaaS product end-to-end: two React Native (Expo, TypeScript) mobile apps and an async FastAPI backend. Architected secure authentication and QR-based verification systems (JWT, OAuth, OTP, HMAC-signed time-windowed tokens). Self-hosted and deployed the full stack on a Hetzner VPS via Coolify (Docker Compose, Traefik), with CI/CD and automated database migrations.
Engineered scalable scraping pipelines (Scrapy) for enterprise clients with dynamic complex web structures. Developed custom middleware and proxy rotation to bypass bot detection. Implemented automated CAPTCHA-solving (third-party and ML-based). Key project: Built a CV-scanning automation tool using the OpenAI API, reducing manual HR screening time and improving accuracy in identifying qualified candidates.