Senior Data Scientist / ML Engineer / AI Engineer (f / m / x) - Wien

Industry :  Artificial Intelligence & ML

Location :  Vienna Hybrid

Capacity :  Full-time

Duration :  Long-term

Language :  English

These are your responsibilities :

• End-to-end responsibility  for ML, AI, and agent-based AI use cases : from problem definition to data preparation, modeling, orchestration, evaluation, and production deployment.
• Design of  agent architectures  (e.g., planner–executor, multi-agent collaboration) with features like memory, reflection, and tool use, taking into account robustness, transparency, and controllability.
• Implementation of the  Model Context Protocol (MCP)  for standardized and secure tool integration as well as capability detection across internal and external services.
• Orchestration of  LLMs and tools  using agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, OpenAI Assistants), including function / tool calls, fallbacks, and guardrails.
• Development and optimization of  RAG pipelines  (Retrieval-Augmented Generation) : data ingestion, chunking, embedding, vector storage, retrieval strategies, caching, and evaluation in terms of precision, recall, and latency.
• Establishment of robust  LLMOps / MLOps practices : experiment tracking, prompt and data versioning, CI / CD, model and artifact management, monitoring, and incident response.
• Promotion of  reliability, security, and compliance : protection against prompt injection, content filtering, policy enforcement, red-teaming, and measurable quality controls.
• Conducting rigorous  offline / online evaluations : backtesting, time series cross-validation, A / B and shadow deployments, canary releases, drift and impact monitoring.
• Optimization of  performance and cost : latency, throughput, rate limits, batching, streaming, caching, and development of monitoring dashboards for usage and cost.
• Close collaboration with  product owners, engineers, and business stakeholders ; implementation of scalable solutions on Databricks (AWS) and integration into banking systems.
• Creation of clear  documentation, templates, and playbooks ; mentoring of colleagues and contribution to best practices in the community.

You bring :

Soft skills :

JobNr : 3379