Senior Full Stack Engineer
We are seeking an experienced ML 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 collaborate closely with the Data Analytics and Data Engineering teams to ensure high-quality data integration into production systems.
Main Responsibilities:
* Create interpretable, accurate, and scalable predictive models using datasets from our AWS and Snowflake environments.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
* Cultivate efficient delivery through effective planning, engaging with others, prioritizing, developing, testing, and releasing work.
Core Competencies:
Skill Set Summary:
* Superb programming, software, and data development skills.
* Strong communication skills.
* High standards of quality in work.
* Ability to balance short-term goals with long-term objectives.
* Teaching and mentoring abilities.
* Prioritizing and driving excellence.
* Adaptability and flexibility.
Qualifications:
* Masters or relevant Bachelors degree in mathematics, statistics, economics, computer science, or other quantitative disciplines.
* 10+ years of experience in Machine Learning and Statistics.
* Expertise in AI & ML in the financial technology industry.
* Proficiency in statistical and machine learning techniques for predictive modeling.
* Programming languages - Python and SQL.
* Cloud services - AWS SageMaker and AWS Bedrock.
* Model registry tools - MLflow, SageMaker Model Registry.
* DataOps and MLOps implementation.
* Experience with PyTorch, Scikit-learn, and GenAI models.
* Languages Models - HuggingFace libraries.
* Data warehousing - Snowflake.
Above and Beyond Qualifications:
* PhD degree in mathematics, statistics, economics, computer science, or other quantitative disciplines.
* Fintech/PropTech expertise.
* Startup experience.
* Software engineering experience.
* Compliance knowledge.
Benefits:
* Competitive salary.
* Remote first work environment.