9 beste Stellen als aws cloud solution architect in berlin, be – aktuell auf Personalsuche

Senior AI Engineer (ML/Data Science Specialist)
Sloboda Studio —Berlin
- Master
Account Executive, Greenfield Enterprise DE
AWS EMEA SARL (Germany Branch) —Berlin
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1 Tag
Senior Sales Manager, Greenfield Enterprise DE
AWS EMEA SARL (Germany Branch) —Berlin
- Vollzeit
- Bachelor
- Kommunikationsfähigkeit
Principal Account Manager , Retail, DE
AWS EMEA SARL (Germany Branch) —Berlin
- Vollzeit
- Bachelor
Senior Account Manager, Public Sector Germany
AWS EMEA SARL (Germany Branch) —Berlin
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AWS EMEA SARL (Germany Branch) —Berlin
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Doctolib —Berlin
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Direkt bewerben

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Senior AI Engineer (ML/Data Science Specialist)

Sloboda Studio -
Berlin

Jetzt bewerben

Details zur Stelle

Qualifikationen

Master

Vollständige Stellenbeschreibung

Sloboda Studio is seeking a Senior AI Engineer with strong hands-on experience in Large Language Models (LLMs) and AI system architecture. You’ll work on building and scaling AI-powered solutions that directly support the client’s global operations in the travel tech domain (ticket aggregation and reselling). This is a high-impact role focused on delivering production-ready AI solutions with measurable business outcomes.

Responsibilities

Design, build, and deploy AI applications using cutting-edge LLM technologies (e.g., OpenAI, Claude, Gemini, LLaMA)
Architect scalable Retrieval-Augmented Generation (RAG) pipelines and advanced AI workflows
Utilize orchestration frameworks such as LangChain, LangGraph, vLLM, LMDeploy
Integrate vector databases (e.g., FAISS, Weaviate, Pinecone, Milvus) into AI pipelines
Collaborate cross-functionally with Product, Engineering, and Business teams to drive AI adoption
Present results and models to both technical and non-technical stakeholders, including executives
Drive the full development lifecycle—from ideation and prototyping to deployment and monitoring
Follow MLOps and LLMOps best practices for scalability, reproducibility, and performance

Qualification

6+ years of experience designing and deploying production-grade AI/ML systems
Proven experience with LLMs, prompt engineering, and RAG architecture
Proficient in Python, Java, Golang and SQL
Strong understanding of model evaluation, feature engineering, and preprocessing
Hands-on experience with cloud platforms: AWS, GCP, or Azure
Excellent communication and stakeholder management skills
Self-driven, proactive, and capable of delivering high-quality work with minimal supervision
Experience deploying scalable AI systems for real-time, high-performance environments is a plus

Stages

Pre-screen interview with Sloboda Studio
PM+Technical interview with Sloboda Studio
Technical interview with the client
Final Interview with the client

Got questions?
Contact our recruiter

Alyona Mykhailovyn

Head of HR & Recruitment

Jetzt bewerben

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aws cloud solution architect Jobs in berlin, be

Senior AI Engineer (ML/Data Science Specialist)

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Engineering Manager - Observability & Reliability Engineering Obsession (x/f/m)

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