Senior Machine Learning Engineer

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