Related skills
docker mongodb python fastapi clickhouse📋 Description
- Develop and deploy ML solutions across business areas using tabular data
- Build end-to-end ML pipelines: data prep, training, APIs, monitoring
- Design LLM-powered features: classifiers, content generation, AI assistants
- Work across the full LLM lifecycle: datasets, prompts, fine-tuning, evaluation
- Collaborate with product teams; English writing for docs when needed
🎯 Requirements
- 5+ years ML/DS experience solving real product problems
- Strong ML/statistics knowledge; gradient boosting; NLP/LLM
- Metrics-driven; link ML metrics to business metrics (ROC-AUC, F1, RMSE)
- Python engineering; product-focused; clean code; design patterns
- Advanced SQL; build datasets in ClickHouse; MongoDB
- MLOps: Docker, Git, CI/CD; experiment tracking
🎁 Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance
- English learning courses
- Relevant professional education
- Remote working
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