My Saved Jobs

Please log in to access your list of saved jobs.
If you do not have a login yet, you can simply register now – the registration process only takes two minutes.

Your benefits

Save job offers and apply via multiple devices
Apply for different jobs at the same time
Apply for jobs in a quick and simple way
Log in now Register now

Activate Job Alert

A user account is required in order to set up a job alert.
If you do not have a login yet, you can simply register now – the registration process only takes two minutes.

Your benefits

Receive job offers via email
Apply for jobs in a quick and simple way
Save job offers and apply via multiple devices
Log in now Register now

MY JOB ALERTS

You need to be logged in to manage your saved job alerts.


Log in now

You do not have a login yet?

Register now

Your benefits


Receive job offers via email
Apply for jobs in a quick and simple way
Save job offers and apply via multiple devices

Data Scientist Job offers

(M/F/D)
Filter Reset filters

Filter

Type of employment

Type of employment

Specialisation

Specialisation

Sector

Country

Reset filters
Reset filters

1 Hit

Jobs by e-mail

1 Hit

    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

    Similar jobs

    Did you already know? You can apply for up to 10 jobs at the same time via saved jobs.