Baku,
Azerbaijan
20.12.24
-
20.01.25
Working conditions
- Develop and optimize machine learning models to solve business problems;
- Conduct thorough data preprocessing, feature engineering, and selection;
- Design and implement scalable solutions for handling large datasets;
- Validate, monitor, and refine models using A/B testing, cross-validation, and error analysis;
- Collaborate with cross-functional teams to integrate models into production environments;
- Automate model deployment pipelines using MLOps best practices;
- Create and maintain clear documentation for data models and processes;
- Develop dynamic dashboards and reporting tools for monitoring model performance;
- Working schedule: 5 days a week, 09:00-18:00.
Requirements
- Master’s or Ph.D. in Data Science, Computer Science, Statistic, or a related field;
- 4+ years of experience as a Data Scientist;
- Proficiency in Python and SQL (MySQL, PostgreSQL);
- Hands-on experience with Docker and cloud platforms (AWS, GCP, or Azure);
- Expertise in machine learning techniques, statistical modeling, and data mining;
- Strong understanding of MLOps, model lifecycle management, and deployment automation;
- Solid experience with model validation, optimization, and monitoring techniques;
- Knowledge of Agile methodology and experience working in Agile teams;
- Experience with version control systems (e.g., Git);
- Exposure to banking, online payment, or financial services is a advantage;
- To apply, please send your CV to the email address with the name of the vacancy.
Finance
Financial services