ML Engineer Junior / Middle Level

☑️ What will need to do:

- Build and implement machine learning algorithms
- Develop and implement machine learning models in production
- Compare multiple approaches to solve a business problem
- Participate in communications with customers to identify business problems and opportunities to solve them using machine learning tools
- Development of algorithms for recommendation/ranking systems
- Building a system for searching for anomalies in multivariate time series

☑️ Our expectations:

- Mathematical background
- Knowledge of basic ML algorithms and metrics
- Experience working towards NLP
- Understanding of CI/CD processes
- Ability to work according to business requirements
- Ability to meet deadlines and multi-task
- Experience in bringing ML models to production and evaluating the business impact of implementation
- Experience in working with high uncertainty tasks
- Fluent in English (B2 level)

☑️ It will be a plus:

- Experience with classic ML and DL (training projects/competitions)
- Experience with Databrix will be a great advantage
- Experience with Code Review
- Experience with development of algorithms for recommendation/ranking systems

☑️ Requirements:

- Python
- SQL, PostgreSQL
- Pandas
- FastAPI, Pydentic, SQLAlchemy
- Airflow
- Sklearn
- PyTorch, Transformers
- Git, BitBucket, CI / CD, conflict resolution
- Docker