The Opportunity
* Job Summary:
We are seeking a highly skilled Machine Learning Engineer to join our team. This role will involve developing and deploying advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
* Main Responsibilities:
Developing and training machine learning models using large datasets generated from our cloud environments;
Collaborating with the Data Analytics and Data Engineering teams to ensure high-quality data integration into production systems;
Translating model insights into actionable strategies that drive business decisions and financial inclusion;
Coaching and mentoring fellow data analysts and engineers in technical skills and best practices;
Ensuring efficient delivery through effective planning, prioritization, and development of high-quality work products.
* Key Qualifications:
Programming Skills:
Proven expertise in Python programming language and SQL database management;
Data Science Tools:
Familiarity with AWS cloud services, including SageMaker for model development, training, and deployment;
Experience with model registry tools such as MLflow or SageMaker Model Registry;
Data Experience:
Knowledge of Snowflake for cloud data warehousing, data integration, and efficient handling of large-scale data storage and processing;
Education and Background:
Master's degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis;
Relevant bachelor's degree in a STEM field with 10+ years of relevant work experience in Machine Learning and Statistics;
Additional Requirements:
Experience working in FinTech or PropTech sectors;
Familiarity with startup environments;
Software engineering experience with microservices;
Compliance knowledge with SOC2-certified, ISO-certified, or similar organizations;
Benefits:
Competitive salary and benefits package;
Remote-first work environment with flexible work arrangements;
Opportunities for professional growth and development;
* About Us:
We invest in our people with benefits designed to help you thrive both personally and professionally. We prioritize diversity, equity, and inclusion in all aspects of our organization. If you are passionate about machine learning and data science, we encourage you to apply for this exciting opportunity.