Senior Data Scientist (Agentic AI Platform)
EUR 29K-45K Senior-level Full Time
Tasks
- Build RAG pipelines
- Build and evaluate classical machine learning models
- Collaborate on data quality and governance
- Design multi-agent systems
- Develop LLM evaluation frameworks
- Evaluate and mitigate LLM risks
- Fine-tune and optimize LLMs
- Implement agent safety guardrails
- Integrate agents with enterprise APIs
- Mentor junior data scientists
- Own MLOps and LLMOps pipelines
Perks/Benefits
- Continuous learning budget
- Flexible benefits budget
- Flexible working hours
- Home office days
- Housing allowance
- Hybrid working model
- Meal vouchers
- Medical and wellness services
- Professional development support
- Relocation support
- Wellbeing support
Skills/Tech-stack
AI Foundry | AI Search | Agent Orchestration | Agent systems | Assistants API | Async Programming | Azure AI | Azure AI Foundry | Azure AI Search | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Machine Learning | Azure OpenAI | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Deep learning | Docker | Embeddings | Faiss | FastAPI | Function Calling | GitHub Actions | Hallucination detection | Kubernetes | LLM Evaluation | Language Models | Large Language Models | LoRA | MLflow | Machine Learning | Multi-Agent | Multi-Agent Systems | NumPy | Observability | OpenAI Assistants | OpenAI Assistants API | OpenTelemetry | PEFT | PGVector | Pandas | Pinecone | Prompt engineering | PyTorch | Python | Qdrant | Retrieval-Augmented Generation | SQL | Scikit-learn | Structured outputs | Synapse Analytics | TensorFlow | Tool-Calling | VLLM | Vector Databases | Vector Search | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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