Machine Learning Engineer
We are seeking an experienced Machine Learning Engineer to develop and deploy advanced machine learning models for creditworthiness prediction, transaction labeling, identity mapping, underwriting, cash flow analysis, and other key financial factors.
This role requires close collaboration with the Data Analytics and Data Engineering teams to ensure high-quality data integration and production system deployment. The successful candidate will have strong technical skills in machine learning techniques, programming languages (Python, SQL), cloud services (AWS), and data management platforms.
* Key Responsibilities:
* Create interpretable, accurate, and scalable predictive models using datasets from AWS and Snowflake environments.
* Translate model insights into actionable strategies for business decision-making and financial inclusion.
* Mentor fellow data analysts and engineers in efficient delivery planning, prioritization, and development.
Requirements:
* Master's degree in mathematics, statistics, economics, computer science, or a quantitative discipline.
* Strong experience in AI and ML, particularly in the financial technology sector, with a focus on credit and financial datasets.
* Proven track record in building and deploying machine learning models, with expertise in statistical and machine learning techniques.
* Familiarity with cloud services, data management platforms, and software development lifecycle.
* Experience working with PyTorch, Scikit-learn, GenAI models, and HuggingFace libraries.
* Snowflake expertise for cloud data warehousing and large-scale data storage processing.
Benefits:
* Competitive salary for a Series B startup.
* Remote work environment with flexible scheduling.