Senior Machine Learning Engineer
We are seeking an experienced Senior Machine Learning Engineer to develop and deploy 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. The ideal candidate will have a strong understanding of statistical and machine learning techniques for predictive modeling, classification, and regression.
The successful candidate will also be responsible for coaching and mentoring fellow data analysts and engineers, ensuring efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing their work.
Key Responsibilities:
* Develop and deploy advanced machine learning models using Python and SQL.
* Work closely with the Data Analytics and Data Engineering teams to ensure high-quality data integration.
* Cochain and mentor fellow data analysts and engineers.
* Ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing work.
Required Skills and Qualifications:
* Mastery of programming languages, including Python and SQL.
* Strong experience in AI and ML in the financial technology or service industry.
* Proven track record in building and deploying machine learning models.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Experience working with cloud services and tools, including AWS SageMaker and Snowflake.
Competitive Benefits:
* Remote first work environment.
* Competitive salary.
Above and Beyond:
* PhD degree in mathematics, statistics, economics, computer science, or other quantitative disciplines.
* FinTech/PropTech expertise.
* Startup experience.