Senior Data Scientist
Tasks
- Analyze product requirements
- Apply software engineering best practices
- Build AI solutions
- Collaborate with product and engineering teams
- Conduct code reviews
- Create production ML systems
- Develop LLM features
- Improve models using feedback
- Launch AI features to production
- Monitor model performance
- Present sprint results
Perks/Benefits
- Annual Travel Card
- Benefit budget
- Hybrid working model
- Meal vouchers
- Multisport card
- Paid parental leave
- Paid vacation
- Pension savings plan contributions
- Sick leave compensation
- Volunteer days
Skills/Tech-stack
Azure | Azure OpenAI | BigQuery | Cloud | Dagster | Entity Matching | Gemini | Jina2 | Jinja2 | Jupyter | LLM APIs | Langchain | Language Models | Large Language Models | LightGBM | MLOps | MLflow | Pandas | Process mining | Prompt engineering | PyTorch | Python | Ranking | Recommendation Systems | Reproducible Research | SQL | Scikit-learn | System personalization | Vertex AI
Education
N/A
Roles
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