4 дня назад
Machine Learning Engineer (Fintech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (Fintech): Developing and operating machine learning solutions for credit scoring, collections, antifraud, and sales with an accent on classical ML, predictive feature discovery, and production reliability. Focus on owning the full model lifecycle, integrating new data sources, and building scalable, observable, and maintainable ML systems.
Location: On-site in Metro Manila, Armenia, Georgia, or Kazakhstan; candidates should be open to relocating to Manila.
Company
develops fintech products that use data and machine learning across credit, collections, antifraud, and sales.
What you will do
- Own the full lifecycle of machine learning models, from exploratory data analysis and feature generation through deployment and monitoring.
- Partner with Collection, Product, and other stakeholders to identify high-impact modeling opportunities.
- Evaluate model performance and business impact, then iterate to improve results.
- Explore internal and external data sources to identify additional predictive signals.
- Ensure production models are scalable, observable, and maintainable.
Requirements
- On-site availability in Metro Manila, Armenia, Georgia, or Kazakhstan, with openness to relocating to Manila.
- At least 2 years of experience as a Machine Learning Engineer or Data Scientist.
- Strong knowledge of classical machine learning techniques and core data science libraries.
- Proficiency in Python and SQL.
- Experience with version control and a strong sense of ownership and accountability.
Nice to have
- Experience in fintech or fast-paced product environments.
- Experience with AWS or other cloud environments.
- Knowledge of XGBoost, LightGBM, or CatBoost.
Culture & Benefits
- Work on high-stakes, high-visibility machine learning projects from the start.
- Collaborate with multiple departments and stakeholders.
- Contribute directly to measurable business impact through improved models.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →