The Opportunity
We are seeking a seasoned Machine Learning Engineer to develop and deploy advanced predictive models that analyze 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 is used for model training and integration into production systems. The successful candidate will have a strong understanding of machine learning techniques, programming languages, and cloud services.
Key Responsibilities:
* Develop and train predictive models using datasets from AWS and Snowflake environments.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
* Craft and mentor technical content for fellow data analysts and engineers.
* Ensure efficient delivery through effective planning, prioritization, and release management.
Requirements:
* Mastery in mathematics, statistics, economics, or computer science, with expertise in data analysis.
* Extensive experience in AI and ML in the financial technology or service industry, including working with credit and financial datasets.
* Strong knowledge of Python and SQL programming languages.
* Familiarity with AWS cloud services, including SageMaker and Bedrock.
* Experience implementing DataOps, MLOps, and/or DevSecOps in the AI, ML, and software development lifecycle.
Competitive Benefits Package:
* Remote work environment with flexible scheduling.
* Opportunities for professional growth and development.