Senior Data Scientist - (Query Intelligence, Global Discovery)
Tasks
- Advance query intelligence with large language models
- Analyze search relevance challenges in large datasets
- Apply model lifecycle management to production
- Architect autonomous agents and multi agent orchestration
- Collaborate cross-functionally with product and engineering teams
- Experiment with search machine learning methods
- Optimize models with fine tuning and distillation
- Translate ambiguous business problems into data science projects
Perks/Benefits
- Bicycle subsidy
- Corporate discounts
- Corporate pension plan
- Digital meal vouchers
- Educational budget
- Employee share purchase plan
- Food vouchers
- Gym subsidy
- Health checkups
- Hybrid working
- Language courses
- Life and accident insurance
- Meditation
- Parental support
- Public transportation ticket discount
- Relocation support
- Sabbatical bank
- Udemy business access
Skills/Tech-stack
AWS | Agent Orchestration | Autogen | Autonomous Agents | Direct Preference Optimization | Fine Tuning | Function Calling | GCP | Gemini | Knowledge Distillation | LLM Fine-tuning | Langchain | Language Models | Large Language Models | Llamaindex | LoRA | MLOps | MLflow | Machine Learning | Metaflow | Model Evaluation | Multi-Agent | Multi-agent orchestration | PEFT | Personalization | Preference optimization | Python | QLoRA | Query Understanding | Reinforcement Learning | SQL | Search Classification | Search Relevance | Supervised Fine Tuning | Tool use
Education
Roles
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