Overview
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* We are seeking an experienced Machine Learning Engineer to work on developing and deploying predictive models for creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
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Key Responsibilities
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* Collaborate with the Data Analytics and Data Engineering teams to ensure high-quality data and integrate models into production systems.
* Create interpretable, accurate, and scalable predictive models utilizing datasets generated from AWS and Snowflake environments.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
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Requirements
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* Master's degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
* Very strong experience in AI and ML in the financial technology or service industry, including working with credit and financial datasets.
* Proven track record in building and deploying machine learning models, with a strong understanding of the theory and tradeoffs behind these techniques.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Strong knowledge of Python and SQL.
* Experience with AWS cloud services and tools, including AWS SageMaker for model development, training, and deployment, and AWS Bedrock for building and fine-tuning foundation models.
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Benefits
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* Competitive salary.
* Remote first work environment.