Middle/Senior Data Scientist
- Рівень:
- senior
- Джерело:
- djinni.co
Що робити
- End-to-End ML Development: Design, train, and deploy ML/DL models, from research and experimentation to production.
- Classical ML: Work with tabular data, perform EDA, develop features, and build classification and regression models.
- Deep Learning: Develop models for text, image, and audio data based on business needs.
- MLOps: Containerize models using Docker, set up model quality monitoring, and integrate solutions via APIs (FastAPI/Flask).
- Documentation & Communication: Maintain technical documentation and present model results, metrics, and business impact to stakeholders.
Що пропонуємо
- Large-Scale Data: Work with massive datasets and challenging real-world business problems.
- Modern Technologies: Use both classical Machine Learning and Deep Learning approaches.
- End-to-End Ownership: Take models from initial research and experimentation to production.
- Business Impact: Develop ML solutions that directly support important business decisions and services.
- Professional Environment: Work alongside experienced specialists in a dynamic and collaborative team.
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