Senior Data Scientist (Agentic AI Platform)
Tasks
- Build LLM evaluation frameworks
- Build multi-agent systems
- Collaborate on data quality and governance
- Develop RAG pipelines
- Fine-tune and optimize LLMs
- Implement agent guardrails and governance
- Integrate agents with enterprise APIs
- Mentor junior data scientists
- Own LLMOps MLOps
- Translate business problems into AI solutions
Perks/Benefits
- Flexible working hours
- Health and wellbeing day
- Health month
- Home office days
- Language course allowance
- Meal vouchers
- Medical and wellness services
- Multisport card
- On-site massages
- Professional development support
- Psychologist services
- Relocation support
- Retail and lifestyle discounts
- Wellbeing support
- Yoga
Skills/Tech-stack
AI Search | Apache Spark | Autogen | Azure AI | Azure AI Search | Azure Container | Azure Container Apps | Azure DevOps | Azure Monitor | CI/CD | Container Apps | CrewAI | Deep learning | Docker | Drift monitoring | Embeddings | Experiment tracking | Faiss | FastAPI | Function Calling | GitHub Actions | Injection Defense | Knowledge graphs | Kubernetes | LLM | Langchain | Langgraph | Langsmith | Language Processing | LoRA | MLflow | Machine Learning | Model Context Protocol | Natural Language | Natural Language Processing | Observability | OpenTelemetry | PEFT | PGVector | Prompt engineering | Prompt injection | Prompt injection defense | PySpark | PyTorch | Python | QLoRA | RAG | SQL | Semantic Kernel | Structured outputs | TensorFlow | VLLM | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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