**Machine Learning Engineer Job Description**
We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will have expertise in developing and deploying machine learning models, with a strong understanding of the theory and tradeoffs behind these techniques.
* Key Responsibilities:
* Create interpretable, accurate, and scalable predictive models utilizing datasets generated from AWS and Snowflake environments.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
* Coach and mentor fellow data analysts and engineers to ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing work.
Required Skills and Qualifications
* Technical Requirements:
* Master's degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
* Very strong experience in AI and ML in the financial technology or service industry, including working with credit and financial datasets.
* Proven track record in building and deploying machine learning models, with a strong understanding of the theory and tradeoffs behind these techniques.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Strong knowledge of Python and SQL.
* Experience with AWS cloud services and tools, including AWS SageMaker for model development, training, and deployment, and AWS Bedrock for building and fine-tuning foundation models.
* Experience implementing DataOps, MLOps, and/or DevSecOps in the AI, ML, and software development lifecycle.
Benefits
* Competitive salary.
* Remote first work environment.