The Opportunity
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* We are seeking a highly skilled Machine Learning Engineer to develop and deploy advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
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* 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.
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* You will be responsible for creating interpretable, accurate, and scalable predictive models utilizing datasets generated from our cloud environments.
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* In addition to the technical responsibilities, you will coach and mentor your fellow data analysts and data engineers.
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* Core Competencies:
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* Superb programming, software, and data development skills.
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* Strong communication skills.
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* High standards of quality and professionalism.
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* Ability to balance thinking big with delivering results in an agile and speedy manner.
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* Heart of a teacher: capable of mentoring and inspiring others.
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* Drive for excellence and prioritization of delivering high-quality outcomes.
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* Adaptability in a rapidly changing environment.
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* Mastery of quantitative disciplines such as mathematics, statistics, economics, or computer science.
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* Strong experience in AI and ML in the financial technology industry.
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* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
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* Programming languages: Python and SQL.
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* Cloud expertise: experience with AWS cloud services and tools.
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* DataOp & MLOps: experience implementing DataOps, MLOps, and/or DevSecOps in the AI, ML, and software development lifecycle.
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* ML Languages: experience building ML models with PyTorch, Scikit-learn, and GenAI models.
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* Data Experience: familiarity with cloud data warehousing and large-scale data storage and processing.
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* PhD degree in quantitative disciplines.
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* Experience working in FinTech or PropTech sectors.
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* Familiarity with startup environments.
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* Software engineering experience: microservices.
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* Compliance knowledge: experience working in SOC2-certified organizations.
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* Competitive salary.
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* Remote first work environment.
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* Opportunities for growth and professional development.
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* Collaborative and dynamic team environment.
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