Machine Learning Engineer
We are seeking a highly skilled Machine Learning Engineer to join our team.
The Opportunity
* Develop and deploy machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
* Work closely with Data Analytics and Data Engineering teams to ensure the models are trained on high-quality data and integrated into production systems.
Key Responsibilities:
1. Create interpretable, accurate, and scalable predictive models utilizing datasets generated from our cloud environments.
2. Translate model insights into actionable strategies that drive business decisions and financial inclusion.
3. Cook and mentor fellow data analysts and engineers to ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing work.
Requirements:
* Master's degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
* A strong background in AI and ML in the financial technology or service industry, including working with credit and financial datasets.
* Proficiency in Python and SQL programming languages.
* Experience with AWS cloud services and tools, including AWS SageMaker for model development, training, and deployment, and Snowflake for cloud data warehousing, data integration, and efficient handling of large-scale data storage and processing.
Benefits:
* Competitive salary and benefits package.
* Remote first work environment allowing you to work from anywhere.
About Us:
We are a dynamic and innovative company dedicated to using AI and ML to drive business growth and financial inclusion. If you are passionate about machine learning and want to be part of a team that is shaping the future of finance, please apply.