22.03.2026 aktualisiert
100 % verfügbar
AI Engineer - Machine Learning & NLP Systems
Saarbrücken, Deutschland
Weltweit
M.Sc. Data Science & Artificial IntelligenceÜber mich
AI Engineer & M.Sc. AI student (Saarland University, Germany) with 2+ years at Walmart Global Tech. I build LLM, RAG, and NLP systems end-to-end - from architecture to Azure deployment. Available full-time.
Skills
JavaScriptAPIsKünstliche IntelligenzAmazon Web ServicesData AnalysisArchitekturAutomatisierungMicrosoft AzureBash ShellCloud ComputingContinuous IntegrationDjangoSpeicherverwaltungExperimentierenApache Hive
I build production-ready AI systems end-to-end - from architecture and model development through to cloud deployment and monitoring.
Core expertise: Generative AI, LLM orchestration, RAG pipeline design, NLP, conversational AI, and ML engineering. I work across the full AI lifecycle: research, development, evaluation, deployment, and iteration.
Recent delivery: Built SmartBot - a full conversational AI platform integrating LLM APIs (OpenAI) and Dialogflow CX (STT/TTS) into a real-time, stateful conversation loop with async Python backend, WebSocket communication, REST APIs, and participant analytics. Deployed live on Azure App Service.
Technical skills:
- Languages: Python (advanced), SQL, Bash, JavaScript
- AI / GenAI: LangChain, LlamaIndex, HuggingFace Transformers, OpenAI API, RAG pipelines, prompt engineering, tool calling, guardrails, memory management
- ML: PyTorch, scikit-learn, TensorFlow, Pandas, NumPy, OpenCV, spaCy
- Backend & Cloud: Django, REST APIs, WebSockets, asyncio, Azure, AWS, Docker, CI/CD, Git
- Data & Visualisation: Tableau, Power BI, SQL, data pipelines, model evaluation
Background: 2+ years at Walmart Global Tech (ML models, automation pipelines) + M.Sc. Data Science & AI at Saarland University, Germany. IEEE published. EXIST Women Scholarship recipient.
Available for freelance missions
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2026
Sprachen
Englischverhandlungssicher
Projekthistorie
Designed and deployed a modular AI research platform supporting multilingual NLP evaluation, built reusable LLM service components, developed 10+ intent detection pipelines and agentic AI components
Architected and shipped a production AI platform in under 3 months featuring LLM-driven content generation, RAG-based retrieval, automated workflows, REST APIs, Docker deployments, and CI/CD pipelines
Implemented ML models to optimize operational workflows, delivering measurable 20% efficiency improvement, automated data pipelines, and built Tableau dashboards for data-driven business insights