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nlp docker mongodb python fastapiπ Description
- End-to-end ownership: data collection, enrichment, modeling, deployment.
- Build a scoring model to support the sales pipeline.
- Create a market intelligence database from diverse sources.
- Design and operate scrapers to extract signals from nonprofit sites.
- Develop filters like Is this website for fundraising? classifier.
- Deploy scoring outputs into Salesforce; collaborate with sales.
π― Requirements
- 5+ years ML/DS experience solving real product problems.
- Strong ML and statistics knowledge: gradient boosting; NLP/LLM basics.
- Proven experience with large-scale web scraping and data pipelines.
- Metrics-driven: connect ML metrics with business metrics (ROC-AUC, F1, RMSE).
- Strong engineering culture: Python with product focus; clean code and patterns.
- Advanced SQL; build datasets in ClickHouse; MongoDB experience.
- MLOps: experiment tracking and production workflows (Docker, Git, CI/CD).
- Autonomy: break down ambiguous problems and deliver to production.
π Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
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