Senior Data Scientist

Vor 5 Tagen

Vienna, Österreich Hays Vollzeit

Senior Data Scientist / AI Engineer (m/w/d) Freiberuflich für ein Projekt Wien Startdatum: sofort Referenznummer: 850136/1 Diesen Job teilen oder drucken Projektinformationen Vorort Projekt  Aufgaben End-to-End Verantwortung für ML-, AI- und Agentic-AI Use Cases: Problem Framing, Data Preparation, Modeling, Orchestration, Evaluation und Deployment in ProductionDesign von Agent Architectures (Planner–Executor, Multi-Agent Collaboration) mit Memory, Reflection und Tool-Use, Sicherstellung von Robustness, Transparency und ControllabilityImplementierung des Model Context Protocol (MCP) für standardisierte und sichere Tool Integrations sowie Capability DiscoveryOrchestrierung von LLMs und Tools mit Agent Frameworks (z. B. LangChain, LlamaIndex, Semantic Kernel, OpenAI Assistants), inkl. Function/Tool Calling, Fallbacks und GuardrailsAufbau und Optimierung von RAG Pipelines: Ingestion, Chunking, Embeddings, Vector Stores, Retrieval Strategies, Caching sowie Evaluation für Precision/Recall und LatencyEtablierung von LLMOps/MLOps Practices: Experiment Tracking, Prompt/Dataset Versioning, CI/CD, Model Registry, Monitoring und Incident ResponseSicherstellung von Reliability, Safety und Compliance: Prompt-Injection Defenses, Content Filtering, Policy Enforcement, Red-Teaming und messbare Quality GatesDurchführung von Offline-/Online Evaluations: Backtesting, Time-Series Cross-Validation, A/B Testing, Shadow Deployments, Canary Releases sowie Drift und Impact MonitoringPerformance- und Cost Optimization (Latency, Throughput, Rate Limits, Batching, Streaming, Caching); Pflege von Usage- und Cost DashboardsZusammenarbeit mit Product Owners, Engineers und Business Stakeholders; Bereitstellung skalierbarer Lösungen auf Databricks (AWS) und Integration in Bank SystemsErstellung klarer Documentation, wiederverwendbarer Templates und Playbooks; Mentoring von Teammitgliedern und Beitrag zu Community Best Practices Profil Teamplayer mit Eigeninitiative und ProblemlösungskompetenzPraktische Erfahrung mit Cloud Computing (AWS, inkl. AWS Linux und AWS Lambda)Fundierte Erfahrung mit Database Technologies und idealerweise Data Lakes (AWS/S3)Erfahrung in Product-Driven EnvironmentsProgrammierkenntnisse, insbesondere Python (idealerweise Django) sowie Erfahrung mit RESTful APIsNachweisbare Fähigkeit zur Entwicklung von Prozessen für Data Transformation, Data Structures, Metadata und Workload ManagementGrundkenntnisse in ETL ToolsVertraut mit Agilem ArbeitenSoft Skills: Proaktivität, Neugier, VerantwortungsbewusstseinStrukturierte Arbeitsweise und ausgeprägte ProblemlösungsskillsBanking Experience von Vorteil Benefits Internationaler KundeRemote-Möglichkeit

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