About this role
The mission:
To be part of this fast–growing fintech and join the team responsible for implementing the data strategy for the company, and delivering tangible results to support and implement Baubap’s mission. As a Senior Machine Learning Engineer in Baubap you will work closely with the business and operational units, understand the problems that we want to solve , propose and implement data- and Machine Learning-driven solutions. In addition, you will be able to measure and communicate the impact of Machine Learning models on business.
The expected outcome:
- Successfully develop and implement machine learning models that optimize financial processes, resulting in a significant improvement in efficiency and profitability.
- Improving and building new ML models into production for new project lines.
- Generate new insights to be able to have better understanding of the clients using ML.
- Research and have fast insights in order to make improvements to the actual ML models implemented in Baubap.
- Optimize and refine models to achieve desired accuracy and efficiency.
The day to day tasks:
- Understand, propose, design, implement, and bring Machine Learning solutions into production to address these business problems.
- Create POC’s researching exhaustively the viability to find new features, data sources and/or algorithm optimizations.
- Propose creative new initiatives that can improve our Credit Risk Models.
- Coordinate with Data Engineers to ensure smooth and successful implementation of pipelines for the new features.
- Collaborate with engineering and product teams to integrate and optimize machine learning algorithms within the company's applications and systems.
- Evaluate, enhance, and maintain existing machine learning models, and propose continuous improvements.
Why YOU should apply:
- Proficiency in Python.
- Proficiency in MySQL.
- Strong Experience with the complete Machine Learning Pipeline (Feature engineering, ML model training, evaluation and monitoring).
- Experience in projects using AWS like S3, EC2, GLUE, Lambda.
- Experience in projects using NLP, Face Recognition, ML recommenders, Image Pre-processing.
What we can offer:
- Being part of a multicultural, highly driven team of professionals
- 20 vacation days / year + 75% holiday bonus (Prima Vacacional)
- 1 month (proportional) of Christmas bonus (Aguinaldo)
- Food vouchers
- Health & Life insurance
- Competitive salary