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    Reference number: 850136/1

    Senior Data Scientist / AI Engineer (m/f/d)

    Freelance/Contracting project
    Vienna
    • Take end-to-end ownership of ML, AI, and agentic AI use cases: problem framing, data preparation, modeling, orchestration, evaluation, and production deployment
    • Design agent architectures (planner–executor, multi-agent collaboration) with memory, reflection, and tool usage; ensure robustness, transparency and controllability
    • Implement Model Context Protocol (MCP) for standardized and secure tool integrations and capability discovery
    • Orchestrate LLMs and tools using agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, OpenAI Assistants), including function/tool calling, fallbacks, and guardrails
    • Build and optimize RAG pipelines: ingestion, chunking, embeddings, vector stores, retrieval strategies, caching, and evaluation for precision/recall and latency
    • Establish strong LLMOps/MLOps practices: experiment tracking, prompt/dataset versioning, CI/CD, model registry, monitoring, and incident response
    • Drive reliability, safety, and compliance: prompt-injection defenses, content filtering, policy enforcement, red-teaming, and measurable quality gates
    • Conduct rigorous offline/online evaluations: backtesting, time-series cross-validation, A/B testing, shadow deployments, canary releases, drift and impact monitoring
    • Optimize performance and cost (latency, throughput, rate limits, batching, streaming, caching); maintain usage and cost dashboards
    • Collaborate with product owners, engineers, and business stakeholders; deliver scalable solutions on Databricks (AWS) and integrate with banking systems
    • Produce clear documentation, reusable templates, and playbooks; mentor teammates and contribute to community best practices
    Online since: Wed Nov 19 14:11:56 CET 2025

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