**Machine Learning Engineer Role**
About the Job
We are seeking a skilled Machine Learning Engineer to join our team. This role involves developing and deploying machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
Key Responsibilities
* Collaborate with Data Analytics and Data Engineering teams to ensure high-quality data and integrate models into production systems.
* Create interpretable, accurate, and scalable predictive models utilizing datasets generated from AWS and Snowflake environments.
Core Competencies
* Superb programming, software, and data development skills.
* Strong communication skills to translate between technical and non-technical audiences.
* High standards for quality work and continuous improvement.
* Ability to balance velocity with long-term goals and adapt to changing environments.
* Heart of a teacher: capable mentor and inspirer of others on the team.
Qualifications
* Mastery's degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
* Relevant bachelor's degree in STEM field with 10+ years of relevant work experience in Machine Learning and Statistics.
Technical Requirements
* Proven track record in building and deploying machine learning models.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Very strong knowledge of Python and SQL.
* Strong experience with AWS cloud services and tools.
* Experience implementing DataOps, MLOps, and/or DevSecOps in the AI, ML, and software development lifecycle.
Benefits
* Competitive salary.
* Remote first work environment.