Machine Learning Engineer
We are seeking a skilled Machine Learning Engineer to apply advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
This role will work closely with the Data Analytics and Data Engineering teams to ensure the models are trained on high-quality data and integrated into production systems.
Key Responsibilities:
* Creating interpretable, accurate, and scalable predictive models utilizing datasets generated from our AWS and Snowflake environments.
* Translating model insights into actionable strategies that drive business decisions and financial inclusion.
* Couching and mentoring fellow data analysts and data engineers.
* Ensuring efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing work.
Required Skills and Qualifications:
Core Competencies
* Superb programming, software, and data development skills.
* Strong communication skills.
* High standards.
* Balancing velocity with long-term goals.
* Heart of a teacher.
* Getting work done and driving excellence.
* Adaptability.
Basic Qualifications
* Mastery of mathematics, statistics, economics, computer science, or other quantitative disciplines.
* Experience in AI and ML in the financial technology or service industry.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Knowledge of Python and SQL.
* Experience with cloud services and tools.
* Expertise in working with model registry tools.
* DataOps, MLOps, and/or DevSecOps experience.
Benefits:
* Competitive salary.
* Remote first work environment.