Design and implement machine learning models to automate and improve the loan processing workflows
Collaborate closely with cross-functional teams to integrate AI/ML solutions within the SaaS platform
Optimize and maintain existing machine learning systems, ensuring robustness and scalability
Work with APIs to facilitate seamless automation of loan processing tasks for banks and credit unions
Leverage AWS cloud infrastructure and services, including SageMaker, to build and deploy AI solutions within the product ecosystem
Contribute to the continuous innovation and iteration of the product to maintain competitive edge and customer satisfaction
Job Requirements:
Bachelors/Masters degree in Computer Science, Engineering, Mathematics, or a relevant field with a strong computational component (or equivalent experience)
A minimum of 4 years of professional experience in Python, with a strong track record in developing AI/ML solutions
4+ years of hands-on experience with AWS cloud services and environments
Solid understanding and experience with Artificial Intelligence and its applications in industry projects
Experience with Gen AI and LLM technologies is highly desirable
Proficiency in developing SaaS applications, preferably with experience in financial services automation
Ability to take on complex problems and deliver end-to-end solutions that enhance user experiences
Exceptional communication skills with fluency in English, both written and spoken
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