Company: Beeline
Employment Type: FULL_TIME
Data Scientist Junior+ for developing ML models on various data types, including NLP and graphs, for equipment failure prediction and creating an AI agent based on LLM.
Responsibilities:
- Development of ML models on various data types: tabular, graph, NLP, and event sequences for predicting equipment failures and malfunctions
- Solving discrete optimization problems
- Participation in researching new data sources and developing a feature store (in Apache Doris)
- Support for the full development cycle of DS/ML products – from idea to production
- Participation in the creation and development of an AI agent based on LLM – from experiments to real-world application
Requirements:
- Experience as a Data Scientist for 1.5+ years
- Experience in end-to-end development of ML solutions: from problem definition and working with the business to implementation in production and model support
- Excellent knowledge of Python and a deep understanding of classical machine learning algorithms, experience with NLP, time series, anomaly detection tasks
- Experience with deep learning, including RNN-like architectures and transformers
- Ability to work with databases (SQL), collect and process data
- Solid understanding of A/B testing
- Higher technical education
Skills:
- Python
- NLP
- SQL
- Deep Learning
- RNN
- Transformers
- Apache Doris
- LLM
