AI Engineer - Predictive Modeling
We are seeking a skilled AI Engineer to apply 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. Collaboration is key as you will work with various stakeholders across the organization, including Data Engineers, Data Analysts, Backend Engineers, Marketing, Sales, and more.
You will focus on creating interpretable, accurate, and scalable predictive models utilizing datasets generated from our cloud environments. Additionally, you will translate model insights into actionable strategies that drive business decisions and financial inclusion.
In addition to technical responsibilities, you will coach and mentor fellow data analysts and engineers. You will prioritize efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing your work. Our company culture values excellence and innovation.
Core Competencies:
* Strong programming, software, and data development skills – You can independently devise and implement solutions to problems with minimal explanation needed.
* Effective communication skills – You can efficiently translate between technical and non-technical audiences and have strong writing skills.
* High standards – Your work is of the highest quality, and you continue to raise the bar within your immediate team and the organization.
* Balance velocity with long-term goals – You balance thinking big with delivering the right thing in an agile and speedy manner. You are curious, flexible, and nimble in your approach and implementation.
* Mentorship and leadership skills – You are a capable mentor and able to inspire and empower others on your team.
* Adaptability – You thrive in an environment that changes quickly and is constantly presenting new challenges.
Requirements:
* Master's degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis, or a relevant bachelor's degree in a STEM field with 10+ years of relevant work experience in Machine Learning and Statistics.
* Experience in AI and ML in the financial technology or service industry, including working with credit and financial datasets.
* Strong understanding of AI and ML engineering, with a proven track record in building and deploying machine learning models.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Programming languages: Python and SQL.
* Cloud expertise: AWS services and tools, including AWS SageMaker for model development, training, and deployment.
* Experience with model registry tools and MLOps.
* Familiarity with Snowflake for cloud data warehousing and data integration.
Benefits:
* Competitive salary,
* Remote first work environment,
About Us:
We value our employees and invest in their growth and well-being. We offer a dynamic work environment where you can learn and innovate every day. Our company is committed to making a positive impact in the world, and we invite you to join us on this journey.