Job brief
GAILABO is offering an AI credit / collection scoring service mainly in emerging markets such as Southeast Asia and Latin America. In emerging economies, personal loans are expanding as the economy and personal incomes are rising rapidly. On the other hand, credit information is not accumulated, thus, financial companies often face the risk of bad debts and collection costs.
At GAILABO, we are looking for machine learning engineers to help us develop credit / collection scoring like AI products to solve such challenges financial companies face. Even if you do not meet all the requirements but have a passion & similar knowledge in this field, we would like to meet you.
Responsibilities
- Understand company and client challenges and how integrating AI capabilities can help create solutions after carefully analyzing client's data
- Develop machine learning models after researching and implementing appropriate algorithms & tools
- Plan & perform statistical analysis and fine-tuning of AI models to maximum client's business KPIs
- Discuss, design & implement frameworks to improve client's business process and efficiency
- Keep abreast of developments in the field
Required Skills and Qualifications
- Proven experience as a Machine Learning Engineer or similar role
- Understanding of data structures, data modeling and software architecture
- Ability to write robust code in Python
- Familiarity with machine learning frameworks (like XGBoost, NNC, Keras or PyTorch) and libraries (like numpy, scikit-learn, matplotlib, jupyterlab etc.)
- Great communication and collaboration skills
- Bachelor's degree in computer science, data science, mathematics, or a related field; Master’s degree is a plus
Preferred Qualifications
- Experience with FinTech solutions development
- Experience with leading a team of engineers
- Experience with Cloud environments like AWS
