ML Engineer

We’re looking for a curious and impact-driven Machine Learning Engineer to join our team and accelerate the development of robust, high-performing ML solutions across key business areas - including credit scoring, collection, antifraud, sales and other.

This role combines hands-on development with strategic input, offering a chance to work on high-stakes, high-visibility projects from day one, collaborating with multiple departments and stakeholders to drive measurable business impact through better models

• Own the end-to-end lifecycle of ML models: from EDA, feature generation, and hypothesis testing to production deployment and monitoring

• Collaborate with cross-functional teams - especially Collection and Product - to identify high-leverage modeling opportunities

• Evaluate model performance and business impact, and iterate for continuous improvement

• Explore and integrate new data sources (internal and external), identifying additional predictive signals

• Work with production systems to ensure models are scalable, observable, and maintainable

• Experience working with AWS (or other cloud environments) is a plus

Preference will be given to candidates open to relocating to Manila

Your future tasks:

full-time

on-site

AI and Data

What we expect from candidate:

• 2+ years of experience as a Machine Learning Engineer or Data Scientist, ideally in fintech or fast-paced product environments

• Solid foundation in classical ML techniques and fluency in core libraries such as Pandas, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Statsmodels, XGBoost/LightGBM/CatBoost etc

• Strong proficiency in Python and SQL, experience with version control

• Strong sense of ownership and accountability