Machine Learning Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Development of innovative products.

• Create prototypes for new modeling methodologies to be integrated into our global suite.

• Collaborate closely with our ML engineering team to pinpoint issues and provide guidance on requirements.

• Develop data pipelines and ETL processes for unique or new modeling scenarios.

• Construct new dashboards and reports to deliver insights to clients regarding model performance and impact, utilizing our proprietary BI toolkit.

• Assist in documenting methodologies, tool usage, and business logic.

• Support client implementation teams in executing complex modeling tasks on our enterprise ML ops platform.

• Conduct complex or customized data engineering as necessary to assist strategic clients.

• Train ML models for applications in underwriting, targeting, and other areas as required.

• Evaluate new product features and algorithms, ensuring accurate implementation prior to live release to our global client base.

• Implement bug fixes and enhancements to Experian methodologies concerning credit-related business logic, including modifications to Bureau Inferencing.

⛳️ Requirements

• Strong proficiency in writing data processing code, with experience in at least one SQL dialect; Spark SQL experience is a plus but not mandatory.

• Familiarity with Python and Jupyter notebooks, along with common open-source ML libraries such as MLlib, PyTorch, sklearn, and TensorFlow.

• Fundamental understanding of credit risk modeling principles.

• Excellent communication skills for engaging with both business and technical audiences.

• Proficient in data visualization techniques.

• Self-motivated individual with a growth-oriented mindset.

• Background in modeling or data engineering within a Credit Risk institution, typically ranging from three to five years at a major bank, FinTech, or financial institution.

• Total industry experience of five to seven years in analytics, data science, or data engineering.

• Bachelor’s degree is required; a Master’s degree is preferred.

🏝️ Benefits

• Fully remote work options.

• Flexible scheduling available.

• Paid parental leave and bereavement leave offered.

• Opportunity to work with globally recognized clients, enhancing your resume.

• Access to a top-tier team for learning and professional growth.